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Principal Product Manager, Data Product & Data Science
LaterBoston, MA
$210,000 - $250,000 / year
Later is the enterprise leader in social media and influencer marketing software, services, and data, trusted by leading brands and agencies worldwide. Following our acquisition of Mavely, the Everyday Influencer Platform, Later enables brands to scale creator partnerships from nano to premium influencers while managing social media content and campaigns across all major social and affiliate networks. Through proprietary performance data, marketing leaders can drive attributable sales and optimize social commerce with our software platform or award-winning services. Later is founded on two success stories that began in 2014: Mavrck, the industry-leading influencer marketing solution (now Later Influence), and Later, the best social media management platform (now Later Social) and first-to-market link in bio tool, Later Link in Bio. In 2024, Mavrck and Later officially joined together as one unified business, with a shared vision: to enable the world to make a living with their creativity. We're trusted by the top social platforms, with partnerships and integrations with Meta, TikTok, LinkedIn, YouTube, and Pinterest. We enable marketers to create high-performing content and engage in authentic collaborations with creators to reach new audiences, drive engagement, and generate predictable ROI. About this position: Later's biggest opportunity in the creator economy is turning our unique, multi-source creator data into meaningful intelligence that drives better outcomes for brands, creators, and our internal teams. As Principal Product Manager, Data Product & Data Science, you will own the strategic data product roadmap that powers how creators are understood, evaluated, and matched to the right brand opportunities. This is a net-new, highly visible role reporting directly to the Chief Product Officer. You will operate at the intersection of product strategy, data engineering, data science, and go-to-market teams-shaping how raw data becomes trusted signals, differentiated insights, and defensible competitive advantage across Later's platform, agency, and services offerings. What you'll be doing: Strategy Own and evolve the end-to-end creator data product strategy, spanning data acquisition, enrichment, modeling, quality, and insight generation. Define and maintain a long-term roadmap that improves the breadth, depth, freshness, and reliability of creator and audience data across all internal and external sources. Identify high-leverage data opportunities that unlock differentiation for Sales, Strategy, and Agency teams-turning data into a compelling narrative brands can buy into. Translate ambiguous business problems into clear data product bets, success metrics, and sequencing decisions. Technical/ Execution Partner closely with Data Engineering and Data Science to shape schemas, pipelines, models, and feature sets that support scalable data products. Drive improvements to creator-level data including (but not limited to): social content signals, audience attributes, campaign performance metrics, Link in Bio behavior, commerce outcomes, and historical brand partnerships. Define and track a Data Quality Score and related KPIs that quantify completeness, accuracy, timeliness, and usability. Work hands-on with datasets using SQL and analytics tools to validate assumptions, explore opportunities, and pressure-test solutions. Guide development of data-derived insights that improve brand-creator matching, campaign planning, and performance prediction. Team / Collaboration Serve as a trusted product partner to Strategy, Sales, Agency/Services, Search, Campaigns, Reporting & Analytics, and Platform Services teams. Align cross-functional stakeholders around shared definitions, priorities, and tradeoffs for data initiatives. Act as the connective tissue between technical teams and business leaders-ensuring data products are both technically sound and commercially meaningful. Influence without authority, using clarity, data, and strong product judgment to move teams forward. Leadership Set a high bar for data product thinking, rigor, and storytelling across the Product organization. Mentor other product managers on data literacy, experimentation, and outcome-oriented product discovery. Champion a culture of curiosity, accountability, and customer-driven decision-making. Research/Best Practices Stay ahead of emerging trends in data products, applied ML, creator analytics, and measurement. Continuously assess new data sources, modeling approaches, and tooling that could strengthen Later's competitive position. Bring external best practices into the organization while adapting them to Later's scale and business model. What success looks like: Measurable improvement in creator data quality, coverage, and freshness, reflected in a consistently rising Data Quality Score. Internal teams trust and actively use creator data to make decisions about matching, pricing, strategy, and campaign design. Brands see clearer differentiation in how Later helps them identify the right creators-not just popular ones-for their goals. Sales and Strategy teams are equipped with data-backed stories that elevate conversations from execution to insight. Product, Data Engineering, and Data Science teams operate with shared clarity on priorities, metrics, and outcomes. What you bring: 8+ years of product management experience, with meaningful ownership of data-heavy or platform-level products. Demonstrated experience building or scaling data products, not just dashboards-schemas, pipelines, signals, or models that power downstream use cases. Hands-on comfort with data tools and concepts (e.g., SQL, BigQuery, analytics workflows) and the ability to engage deeply in the details. Experience working alongside data science teams on algorithms, modeling, or applied ML-even if you were not the primary model builder. A proven ability to zoom out to the strategic narrative and zoom in to the weeds when necessary. Strong stakeholder management skills and a track record of influencing senior leaders in ambiguous environments. Nice to have: Experience at a data-first or analytics-driven company. Exposure to social platforms, creator economy products, advertising technology, or agency environments. Familiarity with programmatic advertising, marketplace dynamics, or matching/recommendation systems. How you work: Driven by Impact: You deliver results that matter-prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear. Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights. Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast-challenging the status quo with a mindset of improvement. Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive-removing roadblocks, sharing insights, and keeping morale high. Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth. Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity. Our approach to compensation: We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors. Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only. To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package. Salary Range: $210,000 - 250,000 OTE #LI-Hybrid Where we work: We have offices in Boston, MA; Vancouver, BC; Chicago, IL; and Vancouver, WA. For select positions, we are open to hiring fully remote candidates. We post our positions in the location(s) where we are open to having the successful candidate be located. Diversity, inclusion, and accessibility: At Later, we are committed to fostering a culture rooted in an inclusion-first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit. We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change. We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.
Posted 2 weeks ago
IBM Data Stage (Big Data Edition)
Two95 International Inc.Marlborough, MA
Title: IBM Data Stage (Big Data Edition) Location: Marlborough, MA Duration: Full Time Salary: $Market Requirements Key skills required for the job are: IBM Data Stage Big Data Edition-L3 (Mandatory) Data Stage Admin-L3 IBM Info sphere CDC-L3 As a Lead Administrator, you should be able to act as a Single point of contact for the technical tower in front of the customer management. Ensure proper communication and quick resolution as a crisis manager. Responsible for Vendor Management and people management. Drives day to day operations and work plan allocation/management. Conduct periodic reviews with teams. Weekly and monthly status reports to higher management. Participate in business meetings with various stake holders. Take corrective actions based on the customer satisfaction surveys. Drive service improvement programs. Ensure adherence to quality / security standards defined for the engagement Perform Trend analysis, identify top few incidents and work with respective teams/individual to minimize the incidents. Effort estimation/reviews on need basis for new projects. Minimum work experience:5 - 8 Years Benefits Note: If interested please send your updated resume to sagar.chand@two95intl.com and include your rate requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest!
Posted 30+ days ago
Data Engineer - Top Secret Clearance (Application Software, Data)
Space Exploration TechnologiesHawthorne, CA
$120,000 - $170,000 / year
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. DATA ENGINEER - TOP SECRET CLEARANCE (APPLICATION SOFTWARE, DATA) The application software team is the central nervous system of SpaceX - we create mission critical applications that are used throughout SpaceX to accelerate launch vehicle production and flight as well as systems that allow Starlink to grow into a worldwide fast, reliable Internet service. We are looking for engineers who treat fellow teammates with fairness, respect, and support. Our team is creating systems to ingest and store concurrent streams of data from many always-on assets to manage the world's largest satellite constellation, reusable rockets, and Dragon spacecraft. Other applications range from platforms that enable rapid build and reuse of Starship, designing the next generation manufacturing software that will be used in high throughput factories for Starlink, and public facing systems where customers can join our Starlink network globally. We work closely with engineers throughout the company to create and update our systems with respect to crewed launches, Starship flights, changes to the Starlink network and much more. Aerospace experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving problems and want to make an impact on a super inspiring mission. You will have full ownership of challenging problems, working with a team of enthusiastic engineers to design and produce solutions that enable SpaceX to move towards our goals at a rapid pace. The success of the missions at SpaceX depends on the software that you and your team produce. RESPONSIBILITIES: Develop highly reliable and scalable data pipelines to empower engineers across SpaceX Create new applications that improve how the business at SpaceX operates Collaborate with peers on architecture, design, and code reviews Build prototypes to prove out key design concepts and quantify technical constraints Own all aspects of software engineering and product development Deep dive into business problems, find efficient solutions and apply first principles thinking BASIC QUALIFICATIONS: Bachelor's degree in computer science, data science, engineering, math, physics, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree 1+ years of experience in full stack development, software engineering, data engineering, or data science PREFERRED SKILLS AND EXPERIENCE: Programming experience in Python, C#, Java, Scala, Go or similar languages Experience working with in-stream, big data processing and analytics using Apache Kafka, Spark, Flink, SQL or similar Experience with relational and non-relational databases, data lakes e.g. HBase, Hive, Delta Lake, PostgreSQL, CockroachDB or similar Experience with data exploration tools like Grafana, Jupyter Notebooks, Metabase, PowerBI or similar Good understanding of version control, testing, continuous integration, build, deployment and monitoring Some front-end experience in Angular, React, or similar JavaScript framework Good understanding of statistics, machine learning algorithms and frameworks ADDITIONAL REQUIREMENTS: Active Top Secret or TS/SCI. Note that an active clearance may provide the opportunity for you to work on sensitive SpaceX missions. If so, you will be subject to pre-employment drug and random drug and alcohol testing Willing to work extended hours and weekends when needed COMPENSATION AND BENEFITS: Pay Range: Data Engineer/Level I: $120,000.00 - $145,000.00/per year Data Engineer/Level II: $140,000.00 - $170,000.00/per year Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law. ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.
Posted 30+ days ago
Data Scientist/ Senior Data Engineer - Finance Transformation
Guardian LifeNew York, NY
$99,150 - $162,885 / year
Note: We are not offering sponsorship for this role. Is the opportunity to join a culture where "We Do the Right Thing," and "We Courageously Shape Our Future Together" important to you? If so, Guardian is seeking a resolute motivated individual to join our team as a Data Scientist/Senior Data Engineer- Finance Transformation. Guardian is seeking a technically skilled and business-savvy Technical Analyst / Data Engineer to design, develop, and support advanced actuarial and financial applications. This role will play a critical part in transforming our actuarial and finance functions by building scalable data pipelines, dashboards, and machine learning models that enhance decision-making and operational efficiency. You will work closely with Actuarial, Finance, Data Science, and Technology teams to deliver solutions used in reserving, pricing, predictive analytics, and financial reporting. You will: Machine Learning, Engineering & Analytics Development Build and optimize large-scale data pipelines using PySpark, SQL, and Python on cloud platforms such as Databricks and AWS Utilizing advanced statistical and AI/ML techniques to develop, deploy, and support predictive models and actuarial tools used for reserving, pricing, and FP&A (e.g., claims projection model, LTD Reserving model) Automate manual actuarial/finance processes by integrating coding workflows with structured datasets and business logic Support use case development that includes initial data exploration, project/sample design, reception, and processing of data, performing analysis and modeling to creation of final report/presentation Data wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses, and prepare modeling datasets Identification of source data and data quality checks both in model/solution development and in production Packaging of model/solution and deployment in cooperation with Data Engineers and MLOps Implement new statistical or other mathematical methodologies as needed for specific models or analysis. Data Integration & Validation Work across data domains to ingest, cleanse, and structure financial and actuarial datasets from multiple sources (e.g., Claims systems, Billing and Commissions system) Implement robust data quality checks and reconciliation controls to ensure accuracy and completeness of critical reporting and modeling datasets Collaboration & Documentation Collaborate with actuaries, finance SMEs, and business analysts to translate complex requirements into efficient technical designs. Maintain clear documentation for code, data flows, model logic, and user instructions. You have Technical Expertise & Domain Knowledge 6-8 years in a data engineering, actuarial modeling, or analytics-focused technical role, ideally in Group insurance or Financial services 2+ years of hands-on ML modeling/development experience Solid understanding of data analysis and statistical modeling. Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks. Demonstrated track records in experimental design and executions Hands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing and applying parallelism to ML solutions Strong programming skills in Python Solid background in algorithms and a range of ML models Working knowledge of Pricing and actuarial processes, or Group insurance product structures Proficiency in Python, PySpark, and SQL is essential Experience working with Databricks, Tableau, Power BI, or similar visualization and cloud platform Exposure to ML/AI libraries and framework to develop or enhance models Soft Skills Analytical mindset with strong attention to detail Self-starter who thrives in fast-paced, cross-functional teams Education Bachelor's or Master's degree in Computer Science, Actuarial Science, Mathematics, Engineering, Finance, or a related discipline or equivalent experience. Preferred Qualifications Hands-on experience building valuation, reserving, or pricing models for group insurance products Experience in agile or SAFe environments with sprint planning, Jira, or Confluence Strategic and creative thinker with ability to think outside the box and translate strategies into actions Excellent problem-solving skills Team player with proven ability to foster and manage working relationships within a matrix environment Candidate must be comfortable with ambiguity in strategic direction. Priorities will change as current uncertainties become new standards and shape the market. There must be constant balance between proactive and reactive strategy and execution. Candidate must work well in a collaborative and diverse team environment, understanding and employing the approach and standard operating procedures of all functional areas across Guardian Excellent oral and written communication skills Location: Hybrid role- 3 days in a Guardian office located in Holmdel, NJ; Bethlehem PA; or Hudson Yards, NYC. 2 days WFH. 10% Travel to other offices as determined by the People Leader Salary Range: $99,150.00 - $162,885.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation. Our Promise At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. Inspire Well-Being As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at www.guardianlife.com/careers/corporate/benefits. Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits. Equal Employment Opportunity Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law. Accommodations Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact MyHR@glic.com. Please note: this resource is for accommodation requests only. For all other inquires related to your application and careers at Guardian, refer to the Guardian Careers site. Visa Sponsorship Guardian is not currently or in the foreseeable future sponsoring employment visas. In order to be a successful applicant. you must be legally authorized to work in the United States, without the need for employer sponsorship. Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.
Posted 30+ days ago
Data Feed Engineer / Data Scientist
Parsons Commercial Technology Group Inc.Annapolis Junction, MD
$108,700 - $190,200 / year
In a world of possibilities, pursue one with endless opportunities. Imagine Next! At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible. Job Description: Parsons is looking for a talented Data Engineer / Data Scientist to join our growing team! This role offers a unique opportunity to contribute to mission-critical projects by leveraging advanced data engineering and data science methodologies to enhance the efficiency and effectiveness of our data-driven operations. What You'll Be Doing: Support large-scale data ingestion into our AWS cloud infrastructure Ensuring the efficient and secure ingestion, normalization, and analysis of vast amounts of data to support our advanced analytics and decision-making processes. Designing and implementing robust data pipelines to ingest and process large volumes of data from diverse sources into our AWS cloud environment Work closely with cross-functional teams to develop and maintain data models, perform data normalization, and ensure data quality and integrity Interact with various stakeholders and team members to ensure that all data solutions meet mission requirements and adhere to best practice What Required Skills You'll Bring: 3+ years of experience in data engineering or data science, along with a bachelor's degree in computer science, Data Science, or a related field Active TS/SCI with CI Poly Deep understanding of data engineering best practices, cloud technologies, and data analysis techniques, as well as proficiency in relevant programming languages and tools. Strong analytical and problem-solving skills Security Clearance Requirement: An active Top Secret SCI w/Polygraph security clearance is required for this position. This position is part of our Federal Solutions team. The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now. Salary Range: $108,700.00 - $190,200.00 We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle! Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status. We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY! Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/ .
Posted 30+ days ago
Senior Data Analyst, Data Analytics
CurrentNew York City, NY
$150,000 - $200,000 / year
Senior Data Analyst Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans to build better financial futures. Based in NYC, our results-driven environment drives us to build better products, grow faster and empower everyone on our team to have an impact on our business and mission to improve financial outcomes. ABOUT THE ROLE We are seeking a strong Senior Data Analyst with preferably prior industry experience in FinTech and the B2C/DTC domain. You will play a crucial role in leveraging data to drive strategic decisions, optimize business performance, optimize our customer interactions, and ensure a frictionless user experience. You will leverage advanced analytics to identify trends, measure performance, and provide strategic insights that support data-driven decision-making across the organization. RESPONSIBILITIES Analyze large datasets to identify trends, insights, and opportunities that drive business growth. Develop and maintain dashboards and reports to track key performance indicators (KPIs) across various business functions. Partner with cross-functional teams, including Product, Engineering, Marketing, and Customer Success, to implement data-driven solutions. Utilize predictive analytics and machine learning models to optimize business processes and customer engagement strategies. Conduct A/B testing and customer segmentation analysis to enhance decision-making and personalization strategies. Provide actionable insights to leadership on business performance, customer behavior, and operational trends. Ensure data integrity, accuracy, and governance across multiple data sources and platforms. Mentor junior analysts and contribute to a data-driven culture within the company. ABOUT YOU 5+ years of experience in data analytics, preferably in fintech, banking, or a technology-driven industry. Strong proficiency in SQL, Python, or R for data analysis and manipulation. Experience with data visualization tools such as Tableau, Looker, or Power BI. Expertise in business intelligence, forecasting, and performance analytics. Familiarity with machine learning techniques and predictive analytics is a plus. Strong understanding of A/B testing, customer segmentation, and retention strategies. Excellent problem-solving skills and the ability to translate complex data into actionable insights. Strong communication skills to effectively collaborate with technical and non-technical stakeholders. Additional Skills and Qualifications Experience with Looker or other business intelligence tools is preferred. Exposure to dimensional modeling concepts to power meaningful analytics. Ability to visualize data effectively and communicate insights clearly and concisely. Experience modeling data using dbt. Familiarity with machine learning techniques and predictive analytics is a plus. Experience working with Fintech, banks or a B2C company. This role has a base salary range of $150,000 - $200,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits. BENEFITS Competitive salary Meaningful equity in the form of stock options 401(k) plan Discretionary performance bonus program Biannual performance reviews Medical, Dental and Vision premiums covered at 100% for you and your dependents Flexible time off and paid holidays Generous parental leave policy Commuter benefits Fitness benefits Healthcare and Dependent care FSA benefit Employee Assistance Programs focused on mental health Healthcare advocacy program for all employees Access to mental health apps Team building activities Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches
Posted 30+ days ago
Data Scientist 2 - Digital Data Science - Hybrid - Seattle, WA
Nordstrom Inc.Seattle, WA
$142,000 - $220,500 / year
Job Description Nordstrom is a specialty retailer offering the very best in fashion and customer service since 1901. We live by five simple values that guide how we work together day-to-day and how we deliver analytics & data science products. We are customer-obsessed, owners at heart, curious and ever-changing, we extend ourselves to our peers and our customers, and we're here to win! The Digital Data Science team focuses on building and supporting AI/ML-powered products that shape the Nordstrom digital customer experience, including personalization and recommendation systems, conversational search, fraud detection, and other customer-facing intelligent features. As an integral part of our digital data science team, the Data Scientist is responsible for developing, deploying, and evaluating machine learning models that drive these products. This Data Scientist should have deep expertise in modern deep learning architectures, strong analytical skills to assess model performance through A/B testing and post-launch analysis, and the ability to communicate data insights and findings to Nordstrom Leadership and the business. The ideal candidate is a creative self-starter and strong technical contributor who is always looking for new opportunities to solve business problems with data-driven tools. The individual should be highly curious about the business and possess the skills to unlock rich, nuanced insights from complicated data and communicate those insights in a way that drives positive business outcomes. We are committed to building teams that reflect the diversity of our customers and active inclusion is core to how Nordstrom wins. We're an equal opportunity employer and encourage individuals from all backgrounds to apply. If the idea to make a difference in this vibrant intersection of fashion, data science, and technology excites you, join our world-class data science team! A day in the life... Collaborate with product, engineering, and cross-functional partner teams to build and improve ML-powered digital products such as personalization, recommendation, conversational search, and fraud detection systems. Design, train, fine-tune, and evaluate deep learning models, including transformer-based architectures, for applications such as recommendation, ranking, natural language understanding, and anomaly detection. Extract and prepare large sets of data for analysis; improve existing data resources by building data pipelines using GCP tools and other cloud services. Understand basics of end-to-end model deployment, from prototyping and training through production serving, monitoring, and iteration, ensuring models perform reliably at scale. Work within and across teams to develop and deploy data products and data-driven software, driving collaboration and adoption on major data-science initiatives. Design and conduct rigorous A/B testing and post-launch analysis to measure model impact, diagnose why models are or are not working, and drive data-informed iteration on product features. Help develop and drive adoption of best practices in all aspects of the Data Science workflow, including intake, design, code review, testing, automation, documentation, reporting, and long-term maintainability. Be a mentor and technical SME for other data scientists and analysts, contributing to team growth in terms of both technical skills and business acumen. You own this if you have… 5+ years hands-on professional experience in Data Science and Analytics, with 3+ years in a Data Scientist role. 3+ years of strong coding experience with at least one statistical or programming language (e.g., R, Python) to import, process, summarize, and analyze data. Experience working in a highly collaborative technical environment (e.g., code sharing, using revision control, contributing to team discussions/workshops, and document sharing). 3+ years of corporate experience with machine learning and deep learning algorithms, including strong working knowledge of transformer architectures and modern neural networks (e.g., attention mechanisms, embeddings, fine-tuning large pre-trained models, as well as classical methods such as gradient boosting, collaborative filtering, etc.). 3+ years of corporate experience extracting large data sets from various relational and non-relational databases using SQL and big-data tools such as Hive or Spark. Hands-on experience deploying ML models into production environments and conducting A/B testing to evaluate model performance and business impact. Passion and aptitude for turning complex business problems into concrete hypotheses that can be answered through rigorous data analysis and experimentation. Demonstrated expertise in analytical storytelling and communication of insights to business partners and leadership. Our ideal candidate has… Experience in leading data science project with more than 1 people Experience with projects including building, deploying, and maintaining ML models in real-time production environments serving customer-facing products (example tools: GCP vertex, Sagemaker, Kubernetes, TensorFlow Serving, TorchServe). Experience developing and deploying automated data pipelines using cloud services (e.g. GCP). Strong background in model explainability, interpretability, and diagnostics-ability to systematically analyze and articulate why a model is or is not performing as expected. Experience with causal inference and experimentation frameworks, including designing and analyzing online experiments to measure incremental model impact. Familiarity with digital product domains such as personalization and recommendation engines, conversational/semantic search, fraud detection, or similar real-time, customer-facing ML applications. Demonstrated success in mentoring data scientists and analysts to help them grow in both technical skills and business acumen. Experience with NLP, LLM integration, or retrieval-augmented generation (RAG) pipelines for search or conversational AI applications is a plus You'll love this Job If You... …are a self-directed individual who operates with passion, urgency, focus, and discipline… put simply, you get stuff done. …have problem solving skills that are unparalleled…you are scrappy and resourceful …are an adaptable team player. You will enthusiastically take on other assignments as needed to support your team! …are detailed-oriented with a passion for data-driven decision-making balanced by a deep appreciation of uncertainty and the inherent limitations of data analysis …are someone who appreciates diversity in all its forms …are someone who appreciates a company that values and encourages work-life balance We've got you covered… Our employees are our most important asset and that's reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including: Medical/Vision, Dental, Retirement and Paid Time Away Life Insurance and Disability Merchandise Discount and EAP Resources A few more important points... The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive. There may be additional duties, responsibilities and qualifications for this job. For Los Angeles or San Francisco applicants: Nordstrom is required to inform you that we conduct background checks after conditional offer and consider qualified applicants with criminal histories in a manner consistent with legal requirements per Los Angeles, Cal. Muni. Code 189.04 and the San Francisco Fair Chance Ordinance. For additional state and location specific notices, please refer to the Legal Notices document within the FAQ section of the Nordstrom Careers site. Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com. Please be mindful that there may be legal notices and requirements related to this job posting that are specific to your state. Review the Career Site FAQ's for relevant information and guidelines. 2022 Nordstrom, Inc Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs. Nordstrom keeps job postings open for at least one day after the posting date. Pay Range Details The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations. Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience. $142,000.00 - $220,500.00 Annual This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_17-19.pdf
Posted 5 days ago
Data Analyst / Data Referent Sales F/H/X CDI
VeepeeSaint Denis, KY
Pionnier des ventes événementielles en ligne depuis 2001 et acteur incontournable du e-commerce en Europe, Veepee collabore avec plus de 7 000 marques pour proposer des produits à forte décote, disponibles sur une durée limitée. Présent dans de nombreux univers parmi lesquels la mode, la maison, le vin, le voyage, ou encore la beauté ... Veepee a réalisé en 2024 un chiffre d'affaires de 3,3 milliards d'euros TTC et compte 5 000 collaborateurs répartis dans 10 pays. JOB DESCRIPTION La mission de l'équipe Sourcing Excellence est de " guider et faciliter la mise en œuvre de la stratégie commerciale de Veepee, en reliant l'expertise et les solutions à l'exécution en matière de processus, d'outillage et d'organisation ". IDENTIFIER LES PRIORITÉS STRATÉGIQUES CLÉS : Élaborer des analyses de rentabilité et prioriser les projets de méthodologie commerciale afin de créer une valeur durableOrganisation d'excellence commerciale : Garantir une organisation optimale pour maîtriser l'excellence commerciale et la meilleure stratégie de gestion de comptesMéthodologie commerciale : Assurer un niveau d'interaction et de suivi adéquat.Tarification : Garantir la compétitivité et la rentabilité. Définir des indicateurs clés de performance (KPI) et suivre l'activité commerciale. Impact sur l'activité, les marques, le chiffre d'affaires et les marges produits. TASKS 1 - Créer des outils pour : Suivi des performances commerciales, des stratégies de tarification et de l'activité commerciale (suivi des indicateurs clés de performance, création de tableaux de bord) Faciliter les processus d'excellence commerciale, de reporting et d'approvisionnement 2 - Suivi des besoins en données, enrichissement des données disponibles sur MicroStrategy et modélisation du lac de données en collaboration avec les équipes de données 3 - Gestion de l'outil de visualisation des données (Microstrategy) dans un environnement en constante évolution, soutien aux utilisateurs et aux autres membres de l'équipe. Vous travaillerez au sein d'une équipe d'analystes de données et de chefs de projet, afin de soutenir les initiatives d'excellence en matière d'approvisionnement : besoin d'informations, automatisation des processus redondants, suivi des résultats. MUST HAVE SKILLS Un diplôme en administration des affaires, en économie, en statistiques ou en mathématiques Expérience préalable en analyse commerciale, avec une spécialisation dans les données de vente Maîtrise de Google Workspace et de Microsoft Office Solides compétences en modélisation, adaptées à votre public Solides connaissances en SQL et maîtrise du fonctionnement des bases de données Solides compétences en communication et en priorisation Excellente maîtrise de notre outil de visualisation, Microstrategy Vous parlez couramment anglais Vous êtes passionné par le monde des affaires : vous avez à cœur d'en comprendre les moteurs et d'étudier ce qui peut être développé ou optimisé. Vous êtes à l'aise avec le traitement des données (de multiples informations provenant de sources variées), même complexes, et vous possédez d'excellentes compétences en modélisation. Vous êtes un excellent joueur d'équipe et vous vous concentrez sur le partage de vos connaissances pour aider les membres de l'équipe à progresser : nous gagnons en équipe ! Vous possédez d'excellentes aptitudes en communication et en résolution de problèmes, avec une attitude résolument positive. Vous êtes extrêmement rigoureux , vous récupérez vos sources et vous étayez vos résultats. BENEFITS Variable bonus Plan de participation aux bénéfices et de primes Bureau flexible avec un minimum de 3 jours sur site et jusqu'à 2 jours à domicile Plateforme d'apprentissage des langues en ligne Le comité d'entreprise et ses nombreux avantages CESU et bons de vacances Accès à un restaurant et une cantine d'entreprises connectées Accès à la salle de sport ️RECRUITMENT PROCESS Entretien RH Entretien avec le responsable Interview du réalisateur Tous nos postes sont ouverts aux personnes reconnues en situation de handicap. Nous sommes convaincus que c'est à vous de définir votre façon de travailler, de vous développer et de progresser. Chez Veepee, nous vous garantissons que vous pouvez tout simplement être vous-même ! Au service de la diversité et de l'inclusion, Veepee s'engage à examiner toutes les candidatures reçues sur une base égalitaire. ENTREPRISE Pour plus d'informations à propos de notre éco système : https://careers.veepee.com/en/home-page-en/ Our 6000 employees have chosen a job at Veepee to spice up their daily lives! Our teams implement new technologies to fuel our strategies, offering our customers the best possible experience. Are you eager to learn? Veepee offers you a variety of trades to develop your career, enabling you to renew your skills constantly. Tech, logistics, sales, marketing, sales production: join us on an exciting, digital-centered journey. The Veepee Group processes your data collected as part of the management of your recruitment in order to manage your application file for the position for which you have applied. To find out more about our personal data protection policy, we invite you to consult it on our career site. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Posted 30+ days ago
Data Lakehouse Architect - Data Bricks
US BankIrving, TX
$133,365 - $156,900 / year
At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One. Job Description Summary: As the Data Lakehouse Architect - Data Bricks, this role will be required to take ownership of designing, building, and optimizing enterprise-scale data platforms using Databricks. This role plays a key part in creating a modern data ecosystem that powers advanced analytics, AI/ML, and real-time processing across multi-cloud environments. This role will bring deep expertise in Databricks, Spark, and cloud technologies like AWS and Azure, combined with strong leadership skills to guide engineering teams. Focus will be on delivering secure, scalable, and cost-efficient solutions that align with business goals and drive measurable impact. Key Responsibilities: Define and execute the technical roadmap for Databricks-based data platforms, ensuring alignment with enterprise architecture and business priorities. Integrate Databricks with AWS/Azure services (e.g., S3, EC2, Glue) and manage DBU consumption through autoscaling and cost optimization strategies. Lead technical architecture of DataBricks Platform and its integration with 3rd party providers in a dual cloud setup. Enable customers to connect and execute robust ETL/ELT pipelines using PySpark and Spark SQL. Optimize cluster performance, job orchestration, and resource utilization for efficiency and cost control. Implement data governance policies, enforce access controls, and ensure compliance with regulatory standards using tools like Unity Catalog. Champion Agile methodologies and ensure disciplined use of Jira for backlog management, sprint planning, and progress tracking. Stay ahead of emerging technologies and Databricks features. Lead proof-of-concepts for new capabilities and drive automation for data workflows. Guide and mentor engineering teams, conduct code reviews, and enforce best practices. Foster collaboration and continuous improvement across cross-functional teams. Excellent stakeholder management and communication skills. Ability to lead large-scale, cross-functional projects in an Agile environment. Familiarity with Unity Catalog, Delta Live Tables, and advanced Databricks features. Basic Qualifications Bachelor's degree, or equivalent work experience Six to eight years of relevant technical experience Five or more years of leading a software engineering team Qualifications: 8+ years in data architecture, platform architecture, or related roles, with 3+ years in Databricks platform leadership. Experience with multi cloud complexities, Azure/AWS preferred. Expertise in PySpark, Spark SQL, and cloud services (AWS/Azure). Strong understanding of data architecture, governance, and security frameworks. Hands-on experience with CI/CD tools (GitLab, Jenkins) and infrastructure-as-code (Terraform). Preferred Financial Services experience or similar regulated industry experience. The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days. If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants. Benefits: Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following: Healthcare (medical, dental, vision) Basic term and optional term life insurance Short-term and long-term disability Pregnancy disability and parental leave 401(k) and employer-funded retirement plan Paid vacation (from two to five weeks depending on salary grade and tenure) Up to 11 paid holiday opportunities Adoption assistance Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law Review our full benefits available by employment status here. U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law. E-Verify U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program. The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $133,365.00 - $156,900.00 U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures. Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies. Posting may be closed earlier due to high volume of applicants.
Posted 3 days ago
Lead Analytics Engineer - Data Platforms (Data Consumption)
Elanco Animal Health IncorporatedBangalore, IN
At Elanco (NYSE: ELAN) - it all starts with animals! As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People. At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights. Making animals' lives better makes life better - join our team today! Your Role: Lead Analytics Engineer The individual must be able to articulate complex technical topics, collaborate with internal and external partners, and ensure quality delivery of the required data products. Reporting to the Associate Director - Data Platforms, the Lead Analytics Engineer is responsible for making our data accessible, understanding its business value, generating insights, and communicating those insights effectively to deliver value and enable decisions. This role focuses on speed to insight, raising our organization's data fluency, and championing continual improvement. Your Responsibilities: Lead the design and implementation of scalable data modeling frameworks that transform raw data into reliable, analytics-ready datasets. Establish organizational standards for metric definitions, business logic, and data transformation patterns. Address enhancements, requests, and incidents related to our enterprise visualizations and Power Platform landscape. Influence Data Platforms product owners and leadership to ensure the appropriate prioritization and planning of opportunities occurs. Mentor analysts and analytics engineers on data modelling, SQL best practices, and analytics engineering principles. Continuously educate stakeholders about services, standards, examples, and patterns provided by the Data Platforms team. Work with the Product manager and Operations Lead to ensure related service offerings are represented appropriately in the catalog and are accessible/discoverable by stakeholders. Represent the Data Platforms team across Elanco as a data evangelist and champion in our various communities, forums, and working groups. What You Need to Succeed (minimum qualifications): Bachelor's degree in computer science, Data Analytics or equivalent professional experience. 8+ years of analytics/BI experience, with 3+ years focusing on analytics engineering Expertise in dimensional modeling and metrics/semantic layer design What will give you a competitive edge (preferred qualifications): Expertise in data testing and validation frameworks. Demonstrated experience leveraging analysis, visualization, and communication skills to create artifacts resulting in actionable insights. Experience mentoring analysts in SQL and data modeling best practices. Understanding of data governance and metadata management. Demonstrated experience with the relevant languages, tools and technologies associated with modern data analysis with an emphasis on Power BI/Power Platform, Tableau, Databricks, the Azure Platform, SQL, Power Query and DAX Prototyping experience using Figma Additional Information: Travel: 0% Location: India, Bangalore Don't meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles! Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status
Posted 30+ days ago
Senior Health Data Scientist (Real-World Data)
InovalonAtlanta, GA
$113,000 - $150,000 / year
Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building. Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare's greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve. Overview: The Senior Health Data Scientist will lead and serve as subject matter expert to highly complex data extracts, programming, and analytical modeling capabilities in support of the team's services to internal and external clients. The Senior position provides guidance and support as needed to junior staff. The team consists of staff with specialized experience, such as statisticians, researchers, health economists, clinicians, and project managers, who conceptualize, execute, and deliver qualitative, analytical, and strategy-based work products for clients. We also work closely with other product teams and business units, applying the full scope of the company's knowledge base to the development of multi-disciplinary, creative solutions on behalf of our clients. Business Unit: Insights - Health Data Science Team This team is the data subject matter expert within the Insights business unit. Their role is to support teams across the organization to bridge the gap between product and engineering. Assist with translating the high-level product vision from the product lead by: 1) Writing detailed logic/algorithm requirements 2) Building prototypes 3) Best practices consulting, and 4) User acceptance testing. This also involves data profiling, data investigation, root-cause analyses, etc. Duties and Responsibilities: Serve as lead when working collaboratively with product leads, managers, and owners to draw insight and intelligence from large administrative claims datasets, electronic medical records, and various healthcare registry datasets; Identify and develop solutions that can be implemented to key strategic business problems using high-level modeling and statistical analyses techniques; Utilize SQL to perform advanced-level data extraction, transformation and data management; fully document and manage library of source code and algorithms for future use; Identify, develop, and test hypotheses in support of research and product offerings, and communicate findings in a clear, precise, and actionable manner to our clients; Respond to and lead highly complex operational data requests and create ad-hoc queries to support research projects; Serve as lead when working closely with Inovalon's Enterprise Data Platform teams to identify, understand, and resolve data issues and improve the efficiency, productivity, and scalability of the company's data processes; Troubleshoot complex production-related issues and coordinate successful resolution; Assist with the evaluation of data analytic vendors and tools; Maintain compliance with Inovalon's policies, procedures and mission statement; Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon's Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position; Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Company; Uphold responsibilities relative to the separation of duties for applicable processes and procedures within your job function; and We reserve the right to change this job description from time to time as business needs dictate and will provide notice of such. Job Requirements: 5 + years of professional experience in healthcare or pharmaceutical industries working with administrative claims data and electronic medical records; Strong SQL programming skills in addition to working knowledge and experience using statistical analysis tools such as SAS, R, and Python; Demonstrated problem solving, analytical reasoning, and decision-making skills; Strong understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex, and incomplete sources; Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.) and good understanding of design and architecture principles; Exhibit strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines; Excellent analytical skills and ability to understand and interpret results based on advanced statistical techniques; Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences; Ability to work under minimal supervision in a fast-paced multidisciplinary environment; Advanced knowledge of health care, health policy, pharmaceutical, medical device, and related issues; Superior customer service in the form of first-rate work product and project management; Strong ability to manage challenging client situations; Strong ability to troubleshoot and recommend solutions; and Strong ability to translate complex information for a wide range of clients. Education: Master's degree in computer science, data science, applied mathematics, econometrics, statistics, engineering, physics, or related discipline; or equivalent combination of education and experience Physical Demands and Work Environment: Sedentary work (i.e. sitting for long periods of time); Exerting up to 10 pounds of force occasionally and/or negligible amount of force; Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions; Subject to inside environmental conditions; and Travel for this position will include less than 5% locally usually for training purposes. Inovalon Offers a Competitive Salary and Benefits Package In addition to the base compensation, this position may be eligible for performance-based incentives. The actual base pay offered may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal equity. At Inovalon, it is not typical for an individual to be hired at or near the top end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. Inovalon invests in associates to help them stay healthy, save for long-term financial goals, and manage the demands of work and personal commitments. That's why Inovalon offers a valuable benefits package with a wide range of choices to meet associate needs, which may include health insurance, life insurance, company-paid disability, 401k, 18+ days of paid time off, and more. Base Compensation Range $113,000-$150,000 USD This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions) If you don't meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles. By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth. Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement. To review the legal requirements, including all labor law posters, please visit this link To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link
Posted 1 week ago
Data Engineer II (Python/SQL, Data Bricks, AWS)
TravelersAtlanta, Georgia
$126,500 - $208,700 / year
Who Are We? Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job Category Data Analytics, Data Science, Technology Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $126,500.00 - $208,700.00 Target Openings 1 What Is the Opportunity? Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Data Engineer, you will play a key role in growing and transforming our analytics landscape. In addition to your strong analytical mind, you will bring your inquisitive attitude and ability to translate stories found in data by leveraging a variety of data programming techniques. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights. What Will You Do? Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions. Design complex data solutions Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes. Incorporate core data management competencies including data governance, data security and data quality. Collaborate within and across teams to support delivery and educate end users on complex data products/analytic environment. Perform data and system analysis, assessment and resolution for complex defects and incidents and correct as appropriate. Test data movement, transformation code, and data components. Perform other duties as assigned. What Will Our Ideal Candidate Have? Bachelor’s Degree in STEM related field or equivalento Eight years of related experienceo Experience with building robust data pipelines and working with large-scale datasets.o Proficiency in tools like AWS, Databricks, Snowflake, Gen AI, ETL Tools, Terraform etc.o Passion for automation, optimization and delivering high-quality data solutions.o A problem-solving mindset with a focus on continuous improvement.o Incorporate core data management competencies including data governance, data security and data quality.o Highly proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and a full understanding of modern software engineering practices.o The ability to deliver work at a steady, predictable pace to achieve commitments, deliver complete solutions but release them in small batches, and identify and negotiate important tradeoffs.o Demonstrated track record of domain expertise including understanding technical concepts necessary and industry trends, and possess in-depth knowledge of immediate systems worked on and some knowledge of adjacent systems.o Strong problem solver who ensures systems are built with longevity and creates innovate ways to resolve issues.o Strong written and verbal communication skills with the ability to work collaborate well with team members and business partners.o Ability to lead team members and help create a safe environment for others to learn and grow as engineers. and a proven track record of self-motivation in identifying opportunities and tracking team efforts. What is a Must Have? Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience. 4 additional years of data engineering experience. What Is in It for You? Health Insurance : Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment. Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/ .
Posted 6 days ago
Data Analyst, Data Governance
AmeriLifeClearwater, Florida
Our Company Explore how you can contribute at AmeriLife. For over 50 years, AmeriLife has been a leader in the development, marketing and distribution of annuity, life and health insurance solutions for those planning for and living in retirement. Associates get satisfaction from knowing they provide agents, marketers and carrier partners the support needed to succeed in a rapidly evolving industry. Job Summary We are seeking a detail oriented Data Governance Analyst to join our Enterprise Data Governance team and help elevate enterprise data as a trusted, strategic asset. This role is responsible for supporting the execution of data governance and data quality standards across business critical data domains.The Data Governance Analyst will apply governance policies and standards through effective communication, education, and the use of governance tools to ensure alignment with business objectives and regulatory requirements. This role strengthens transparency and trust in data by promoting clear ownership and stewardship, supporting issue resolution processes, and enabling effective stakeholder engagement to foster a data driven culture.In addition, the analyst will champion enterprise data quality by driving continuous improvement initiatives that enhance the reliability, accuracy, and overall value of governed data. Job Description Key Responsibilities: Governance & Data Quality Maintain and curate governance artifacts using Microsoft Purview for cataloging and lineage, and Databricks for scalable profiling and data quality rule execution. Partner with QA data analysts and Python developers to profile data assets to measure and report on quality dimensions, conduct data quality assessments, and implement data remediation and correction plans. Maintain and enforce master data and reference data mappings including point‑in‑time relationships and exception rules. Execution & Enablement Partner explicitly with the Data Governance Committee and steward network; prepare inputs, track decisions, and record outcomes. Document data flows and standardize metadata practices to improve consistency, usability, and support enterprise data initiatives. Partner with Compliance to apply and maintain data classification and tagging standards in data tools to support compliance, protection, and lineage transparency across the data lifecycle. Support the creation and maintenance of curated ("gold") data assets and user acceptance testing (UAT) workflows for trusted analytics and compliance. Business and Data Analysis Facilitate the translation of business challenges into Data Governance and data quality requirements by partnering with Business Analysts who create user stories, use cases, process flows, or solution concepts. Identify data governance and data quality risks early and work with business analysts to ensure requirements and supporting mitigation plans are developed. Provide data governance input to business analysts during solution planning by ensuring data quality standards and stewardship expectations are documented. Collaborate across departments to resolve enterprise data issues, drive initiatives to closure, achieve desired results, and support change as needed. Define and track success metrics for governance adoption and data quality improvements across enterprise data assets. Qualifications: Bachelor’s degree in Data Analytics, Information Systems, or related field. 3+ years of experience in data analysis or related roles. SQL proficiency and experience with catalog or lineage tooling; prefer Purview, Collibra or Profisee as transferable experience. Strong documentation, communication, and stakeholder collaboration skills. Experience working in a life and health insurance operational environment. Preferred Experience with Azure Databricks for scalable profiling and rule execution. Familiarity with regulatory frameworks (e.g., NAIC, HIPAA). Certification in data governance or data management (e.g., DAMA CDMP). Experience in Medicare programs and financial services domains. What AmeriLife Offers A comprehensive benefits package that includes PTO, medical, dental, vision, retirement savings, disability insurance, and life insurance. Equal Employment Opportunity Statement We are an Equal Opportunity Employer and value diversity at all levels of the organization. All employment decisions are made without regard to race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity or expression, age, national origin, ancestry, disability, genetic information, marital status, veteran or military status, or any other protected characteristic under applicable federal, state, or local law. We are committed to providing an inclusive, equitable, and respectful workplace where all employees can thrive. Americans with Disabilities Act (ADA) Statement We are committed to full compliance with the Americans with Disabilities Act (ADA) and all applicable state and local disability laws. Reasonable accommodations are available to qualified applicants and employees with disabilities throughout the application and employment process. Requests for accommodation will be handled confidentially. If you require assistance or accommodation during the application process, please contact us at HR@AmeriLife.com . Pay Transparency Statement We are committed to pay transparency and equity, in accordance with applicable federal, state, and local laws. Compensation for this role will be determined based on skills, qualifications, experience, and market factors. Where required by law, the pay range for this position will be disclosed in the job posting or provided upon request. Additional compensation information, such as benefits, bonuses, and commissions, will be provided as required by law. We do not discriminate or retaliate against employees or applicants for inquiring about, discussing, or disclosing their pay or the pay of another employee or applicant, as protected under applicable law. Pay ranges are available upon request. Background Screening Statement Employment offers are contingent upon the successful completion of a background screening, which may include employment verification, education verification, criminal history check, and other job-related inquiries, as permitted by law. All screenings are conducted in accordance with applicable federal, state, and local laws, and information collected will be kept confidential. If any adverse decision is made based on the results, applicants will be notified and given an opportunity to respond.
Posted 1 week ago
Director, R&D Data Science, Data Products - Oncology
6084-Janssen Research & Development Legal EntityTitusville, New Jersey
$160,000 - $276,000 / year
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Director, R&D Data Science, Data Products – Oncology. This position has a primary location of Titusville, NJ but is also open to Spring House, PA or Cambridge, MA . The position will require up to 25% travel. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Position Summary The Director, Data Products – Oncology is responsible for leading the strategy, design, and delivery of user-centric, reusable data products that enable advanced analytics, data science, and AI/ML solutions across the Oncology Therapeutic Area (TA). This role ensures that high-value internal and external Oncology data assets—including preclinical, translational, clinical, competitive intelligence, and real-world data (RWD/RWE)—are standardized, productized, and integrated into Janssen’s enterprise R&D data ecosystem. Working closely with Data Science teams, Oncology TA scientific leaders, and the broader Data Strategy & Products organization, this leader ensures that Oncology data products fill business requirements, such as being AI ready, semantically consistent, and interoperable, enabling faster discovery, stronger evidence generation, and better regulatory outcomes. Key Responsibilities Data Product Strategy & Execution Lead a team to develop technical requirements for Oncology-facing data products. Define and maintain a roadmap for Oncology data products, spanning discovery, translational research, clinical development, and real-world evidence. Develop data products through , agile delivery, and FAIR data principles to ensure products are scalable, interoperable, and reusable across Janssen and partner functions. Deliverintegration of internal and external Oncology data sources (e.g., clinical trial data, genomics/omics, competitor intelligence, registry and RWE datasets). Ontology & Semantic Modeling Contribute to the development and governance of an Oncology Ontology to enable semantic consistency across discovery, clinical, regulatory, and real-world data. Align Oncology Ontology with enterprise metadata standards and external frameworks (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus). Collaboration & Integration Partner with Knowledge Management, Data Product Architecture & Governance, and Master Data Management teams to ensure Oncology data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogs. Collaborate with Oncology Data Science , clinical, translational, and commercial Oncology stakeholders to co-create solutions that maximize the value of Oncology data assets. Interface with regulatory and compliance teams to ensure Oncology data products meet global standards. Team & Operating Model Leadership Lead a cross-functional team of product owners, data engineers, and Oncology datadomain expertsaimed at delivering data products to Oncology. Establish and implement governance models, agile delivery processes, and value-tracking metrics for Oncology data products. Value Realization & Communication Define and track KPIs to measure the impact of Oncology data products on scientific insights, trial efficiency, and regulatory outcomes. Communicate vision, roadmap, and value realization to Oncology leadership, data science teams, and executive stakeholders. Champion data literacy and adoption within the Oncology TA. Strategic Impact The Director, Data Strategy & Products – Oncology TA is responsible to ensure Oncology data is transformed into trusted, AI-ready products that accelerate discovery, improve trial design and execution, and strengthen regulatory readiness. By embedding semantic rigor and aligning with enterprise data strategy, this role positions Oncology data as a strategic asset that drives scientific innovation and patient impact across Janssen R&D. Qualifications Education PhD or Master’s in informatics, computer science, life sciencesor related discipline. Skills & Expertise 8+ years of experience in pharma/biotech R&D with a focus on data product development and delivery, or data science. A focus on Oncology is a plus. Strong track record in data product development, data integration, or semantic modeling within a TA or domain-specific context. Experience working with multi-modal Oncology data, including omics, imaging, translational, clinical trial, and RWE data. Deep knowledge of data products, database design, data transformation/mapping. Oncology research, clinical trial design, and regulatory data requirementsis a plus. Familiarity with metadata management, ontologies, knowledge graphs, and industry data standards (e.g., CDISC, GA4GH). Strong leadership, collaboration, and communication skills, with ability to translate technical strategy into business/science value. Demonstrated ability to influence stakeholders and drive adoption of new data capabilities across a complex organization. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. #LI-Hybrid #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Data Product Management, Multimodal, Ontology, Product Development, Semantic Modeling Preferred Skills: Clinical Trial Designs, Oncology, Real World Evidence (RWE) The anticipated base pay range for this position is : The anticipated base pay range for this position is $160,000 to $276,000 USD. Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave – 10 days Volunteer Leave – 4 days Military Spouse Time-Off – 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits
Posted 1 week ago
Senior Engineering Manager, Data Analytics – Data & AI
KrakenCheyenne, Wyoming
Building the Future of Crypto Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology. What makes us different? Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world. Before you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account here . As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry-leading security , crypto education , and world-class client support through our products like Kraken Pro , Desktop , Wallet , and Kraken Futures . Become a Krakenite and build the future of crypto! Employer: Payward Operations LLC (dba Kraken) Position: Senior Engineering Manager, Data Analytics – Data & AI Job Location: 1603 Capitol Ave, Suite 517B, Cheyenne, WY 82001 Duties: Drive decision making in building cutting-edge products. Transform large datasets from complex systems, generate actionable insights, and share the results with stakeholders at all levels of the company. Partner and lead projects with product management, engineering, client engagement, finance, and other enterprise level teams. Build out analytics and management report dashboards by collaborating closely with directors and cross functional teams to infuse analytics insights into major business priorities and enable data driven decisions. Partner closely with data engineering and enterprise systems team to define, plan, implement, and support the data infrastructure. Lead the definition of data requirements and controls to enable the integrity of the company’s analytics and management reporting. Drive projects and initiatives for assessment of current data and process infrastructure to support team objects. Support data analysis and reporting requirements, building and maintaining knowledge repository and technical documentation libraries for data lake and reporting. Run standup, workgroup meetings, identifying action items and addressing blockers to keep projects on track. Telecommuting / work from home is permitted. Minimum education and experience required: Master’s degree or the equivalent in Computer Science, Management Information Systems, or a related field plus 8 years of experience in data analytics or related experience. Skills required: Must have experience with: Data pipelines, ETL/ELT, data warehousing, and orchestration tools; BI tools (Tableau, Looker or similar); Data platforms such as Snowflake, Big Query, Redshift; and observability and experiment platforms; Statistics experimentation (A/B testing), modeling techniques and casual inference; languages such as Python, SQL, Scala, or Java for data systems; Hiring a technical team, including providing feedback and mentoring for career growth; Translating business problems into technical plans; Driving strategy for data products and platforms, such as self-serve analytics; Balancing long-term tech investments with short-term business needs; Agile or hybrid methods tailored to analytics projects; Working with product and business leaders to define KPIs, dashboards, and success metrics for product performance; Aligning data strategy with company and product goals; and Driving data quality, engineering best practices, and scalable systems. Employer will accept any amount of experience with the required skills. Payward Operations LLC (dba Kraken) is an Equal Opportunity/Affirmative Action Employer. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto! As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. Stay in the know Follow us on Twitter Learn on the Kraken Blog Connect on LinkedIn Candidate Privacy Notice
Posted 1 week ago
Director, R&D Data Science, Data Products - Global Development
6084-Janssen Research & Development Legal EntityTitusville, New Jersey
$161,000 - $276,000 / year
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Director, R&D Data Science, Data Products – Global Development. This position has a primary location of Titusville, NJ but is also open to Spring House, PA or Cambridge, MA. This position requires up to 25% travel. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Position Summary The Director, Data Products – Global Development is responsible for leading the strategy, design, and delivery of user-centric, reusable data products that enable advanced analytics, data science, and AI/ML solutions across the Global Development organization. This role ensures that high-value internal and external development data assets—including protocol, study design, operational, regulatory, disclosure, and real-world data (RWD/RWE)—are standardized, productized, and integrated into Janssen’s enterprise R&D data ecosystem. Working closely with Global Development Data Science teams, Clinical Development, Operations, and Regulatory stakeholders, as well as the broader Data Strategy & Products organization, this leader ensures that Global Development data products are AI-ready, semantically consistent, and interoperable, enabling trial efficiency, regulatory readiness, and improved compliance outcomes. Key Responsibilities : Data Product Strategy & Execution Lead a team to define and deliver data products addressing critical Global Development use cases (e.g., study startup, TMF metadata, operational KPIs, submission readiness). Define and maintain a roadmap for Global Development data products, spanning protocol development through clinical trial disclosure. Develop data products through agile delivery and FAIR data principles, ensuring scalability, interoperability, and reuse across Janssen functions and external partners. Integrate internal and external Global Development data sources, including CRO-provided datasets, performance benchmarks, and regulatory datasets. Ontology & Semantic Modeling Contribute to the development and governance of a Global Development Ontology to enable semantic consistency across operational and regulatory domains. Align Global Development Ontology with enterprise metadata standards and external frameworks (e.g., CDISC, HL7 FHIR, etc ). Collaboration & Integration Partner with Knowledge Management, Data Product Architecture & Governance , and Master Data Management teams to ensure Global Development data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogs. Collaborate with Global Development stakeholders—including Clinical, Regulatory, Medical Writing, QA, and Safety—to co-create solutions that maximize the value of development data assets. Interface with regulatory and compliance teams to ensure data products meet submission, disclosure, and transparency requirements. Team & Operating Model Leadership Lead a cross-functional team of product owners, data engineers, and Global Development domain experts. Establish governance models, agile delivery processes, and value-tracking metrics for Global Development data products. Value Realization & Communication Define and track KPIs to measure the impact of data products on study startup times, operational insights, and regulatory compliance. Communicate product vision, roadmap, and value realization to Global Development leadership, Data Science teams, and executive stakeholders. Champion data literacy and adoption within the Global Development organization. Strategic Impact The Director, Data Products – Global Development ensures Global Development data is transformed into trusted, AI-ready products that accelerate study startup, improve operational insights, and strengthen regulatory readiness. By embedding semantic rigor and aligning with enterprise data strategy, this role positions Global Development data as a strategic asset that enables trial efficiency, compliance, and innovation across Janssen R&D. Qualifications Education PhD or Master’s in informatics , computer science, life sciences, or related discipline. 8+ years of experience in pharma/biotech R&D with focus on clinical development, operations, regulatory, or data product management. Strong track record in data product development, integration, or semantic modeling in a regulated domain. Experience working with multi-modal development data, including clinical trial, protocol, operational, submission, and disclosure datasets. Skills & Expertise Deep knowledge of Global Development processes, clinical trial design, and regulatory requirements. Deep knowledge of data products, database design, data transformation/mapping. Familiarity with metadata management, ontologies, knowledge graphs, and industry standards (e.g., CDISC, FHIR, ICH). Strong leadership, collaboration, and communication skills, with ability to translate technical strategy into business/science value. Demonstrated ability to influence stakeholders and drive adoption of new data capabilities across a complex organization. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. #LI-Hybrid #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: The anticipated base pay range for this position is : The anticipated base pay range for this position is $161,000 to $276,000 USD Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave – 10 days Volunteer Leave – 4 days Military Spouse Time-Off – 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits
Posted 1 week ago
Director, Clinical Data Management & Data Science
Truvian SciencesSan Diego, CA
$196,000 - $216,000 / year
ABOUT TRUVIAN Want to work for a fast-paced and disruptive company that is working to revolutionize blood testing? Truvian is a healthcare company at the intersection of diagnostics and consumer tech. We are developing an automated, benchtop diagnostic system to provide lab-accurate results in 30 minutes for a comprehensive suite of health tests. Our proprietary approach, for which we are seeking FDA clearance, is intended to fulfill the promise of delivering accessible and affordable blood testing from one small blood sample, in minutes, in a retail setting or private clinic. To us, our work at Truvian is more than a job – It’s a mission. We are a culture dedicated to discovery and empowerment. We are trailblazers on the path to put health information where it belongs - in the hands of the individual. We are partners in the belief that talented people, working as a team, can make every day an adventure. Come join us as we realize our vision to make routine health testing convenient, affordable, and actionable for today’s connected consumers! JOB SUMMARY Truvian is seeking a strategic and technically adept Director, Clinical Data Management & Data Science build and lead a multidisciplinary team responsible for clinical data strategy, management, analytics, and statistical sciences. This role is pivotal in ensuring data integrity, regulatory compliance, and operational efficiency across the product lifecycle—from early research through regulatory submission and post-market surveillance. This position is ONSITE. The Director will architect and scale Truvian’s clinical data ecosystem — spanning database design, data pipeline integration, clinical data quality, statistical analysis, and data visualization — to support assay validation, regulatory submissions, and real-world evidence generation. The ideal candidate combines strategic leadership with hands-on technical expertise in biostatistics, clinical data systems, and data science for diagnostics. This role requires in-depth expertise in the IVD industry, including knowledge of FDA regulations (21 CFR Part 11, Part 820), and a proven ability to lead data initiatives in a regulated environment. HERE’S WHY YOU WILL LOVE THIS ROLE Unique Growth Opportunity: Gain hands-on experience across clinical studies, data analysis, regulatory submissions, and product development. Data-Driven Innovation: Work alongside experienced leaders, contributing to real-world healthcare solutions backed by rigorous data. Fast-Paced Start-Up Culture: Be part of an agile, mission-driven team where your work has immediate impact. Professional Development: Receive mentorship and opportunities to expand your technical and industry knowledge. Meaningful Impact: Help bring innovative diagnostic products to market that can improve patient outcomes. You love and thrive in a fast-paced and dynamic environment where you can implement fresh ideas, new processes, and make things happen quickly without a bunch of red tape You’ll have great perks such as: Generous Benefits (Medical/Dental/Vision/EAP/Paid Life Insurance/LTD/401K), Flexible vacation Kombucha and cold brew on tap, craft coffee, and a variety of healthy snacks WHAT YOU WILL DO Strategic Leadership Develop and execute a unified, robust, and scalable data strategy to support clinical trials, R&D studies, and regulatory submissions. Build and mentor a high-performing team of data managers, database programmers, biostatisticians, and data scientists. Serve as a senior advisor to Clinical, R&D, and Regulatory leaders on data architecture, analytics, and evidence strategies. Ensure alignment of data architecture with business goals and regulatory requirements. Data Infrastructure and Systems Development Lead the design, integration, and governance of clinical databases and data pipelines from the ground up. Oversee implementation and validation of EDC systems, LIMS, and data warehouse tools to harmonize internal and CRO data sources. Guide the creation of user-friendly tools for data input, extraction, and analysis across teams. Ensure compliance with 21 CFR Part 11, GCP, HIPAA, and other applicable data regulations. Hire, mentor, and manage a team of data professionals to support clinical and R&D initiatives. Clinical Data Management Establish SOPs, standards, and templates for data collection, cleaning, reconciliation, and database lock. Direct data management activities for clinical studies, ensuring data quality, completeness, and traceability. Collaborate with CRO partners and central labs to ensure consistent data flow and integrity. Biostatistics & Data Science Provide strategic direction for statistical design, analysis, and interpretation of clinical and analytical validation studies. Oversee development of statistical analysis plans (SAPs) and ensure robustness of models and results. Guide exploratory and confirmatory data analyses, leveraging both traditional biostatistics and modern data science/ML techniques. Drive the development of data visualization dashboards and analytic tools to support real-time decision-making. Cross-Functional Collaboration Partner with Clinical Operations, Regulatory Affairs, Quality, and Product Development teams to ensure alignment of data strategy with business goals. Support regulatory submissions (FDA, IVDR) through clear, validated, and reproducible data outputs. Translate complex data analyses into compelling, clear narratives for scientific and regulatory audiences. WHAT YOU WILL BRING Required: Master’s or PhD in Biostatistics, Data Science, Biomedical Informatics, or related quantitative field. Minimum of 10 years of experience in clinical data management, biostatistics, or data science roles within diagnostics, medical devices, or pharmaceuticals Minimum of 5 years of management and leadership experience Proven experience building and leading data teams (data management, biostatistics, and informatics) from the ground up in a regulated environment. Demonstrated ability to design and integrate clinical databases and data pipelines across multiple systems and vendors. Strong command of SQL and relational databases (e.g., PostgreSQL, MS SQL Server). Deep understanding of FDA regulations, including 21 CFR Part 11, Part 820, GCP, ICH E6, and regulatory requirements for IVD data. Familiarity with EDC systems (Medidata, REDCap, etc.), data visualization tools (Tableau, Spotfire, Power BI), and data standards (CDISC/SDTM, HL7/FHIR). An analytical mindset with strong attention to detail and the ability to draw meaningful insights from complex datasets. Proactive, self-motivated, and eager to take ownership of tasks and learning opportunities. Exceptional communication skills and ability to translate complex statistical concepts and data into clear, actionable insights for technical and non-technical audiences. Comfortable working in a fast-paced, start-up environment with shifting priorities. Preferred: Knowledge of cloud platforms (AWS, Azure) and data governance frameworks. Startup or small-company experience building infrastructure from scratch Prior experience supporting FDA submission data requirements for IVDs (e.g., 510(k), PMA, EUA). SALARY RANGE $196,000 - $216,000 This range encompasses the diverse set of factors considered in making compensation decisions, including, but not limited to, experience, skills, knowledge, abilities, education, licensure, certifications, and other business and organizational needs. Salary offers are determined based on final candidate qualifications and experience. Placement within the compensation range is determined by internal equity and relevant qualifications. HOW TO STAND OUT Interested candidates are encouraged to submit a cover letter along with their resume. The cover letter is an excellent opportunity to share how your experience aligns with our mission, your approach to collaboration, and how your statistical expertise can support innovation in IVD assay development. Equal Opportunity Statement Truvian provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Powered by JazzHR
Posted 4 weeks ago
Senior Data Engineer - Harbor Data Systems (HDS)
Harbor HealthAustin, TX
COMPANY OVERVIEW At Harbor Health, we’re transforming healthcare in Texas through collaboration and innovation. We’re seeking passionate individuals to help us create a member-centered experience that connects comprehensive care with a modern payment model. If you’re ready to make a meaningful impact in a dynamic environment where your contributions are valued, please bring your talents to our team! POSITION OVERVIEW Harbor Health is rebuilding the operating system of healthcare. The HDS team contributes to this by building "HarborOS", the central nervous system of our clinical operations, tying together information from different clinical sources to drive optimal outcomes for our members. Data is our product.We are looking for Analytics Engineers to build and our data ingestion layer to bring in the data that will help us transform healthcare. You will not just move data, you will convert it into actionable insights to help our clinic network change lives. You will take raw chaos (claims, ADT, clinical data) and architect the trusted data marts that power out patient care, risk adjustment, and financial decisions. WHAT YOU WILL DO Build the Semantic Layer: Design and implement production-grade dbt models that transform raw source data into clean, documented, and tested Data Marts. Enforce Data Quality: Move beyond basic NOT NULL checks. Implement semantic validation rules (using dbt tests or Great Expectations) that catch business logic failures before they hit the dashboard. Own the Pipeline: Manage the lifecycle of your data models from IDE to production, including code review, CI/CD integration, and performance tuning in Snowflake. Bridge the Gap: Collaborate with Platform Engineers to understand upstream ingestion patterns (Python/Fivetran) and debug data issues at the source. Design the core Star Schemas and data models that define our business. You will decide how we model complex concepts like "Attribution," "Risk," and "Claims Adjudication" to ensure historical accuracy and query performance. Act as the primary interface between Clinical Operations and Engineering. You will interview stakeholders to uncover the "Why" behind their requests and translate vague business needs into precise technical specifications. Mentorship & Standards: Set the standard for SQL style, dbt macro usage, and testing rigor. Mentor intermediate engineers on healthcare domain nuances (e.g., why a reversal claim behaves differently than a void). WHAT WE NEED SQL Mastery: You can write performant, readable, and complex SQL. You understand window functions, CTEs, and the difference between a LEFT JOIN and a CROSS JOIN intuitively. dbt Fluency: You have used dbt in production. You understand incremental models, snapshots, and how to structure a project for scale. Python Literacy: You can read and understand Python scripts. You may not build the ingestion framework from scratch, but you can debug a transformation script if needed. Data Warehouse Fundamentals: You understand how column-oriented databases (Snowflake) work and how to write queries that prune partitions effectively. STRONGLY PREFERRED You bring deep subject matter expertise in healthcare data domains. You are fluent in processing 837 files, modeling the claim lifecycle (Adjudication, Reversal, Denial), and handling provider data nuances (NPI vs. TIN). Proven experience designing Dimensional Models (Kimball/Star Schema) from scratch. You know when to denormalize for performance and when to normalize for integrity . OUR STACK Transformation: dbt (Core/Cloud) Warehouse: Snowflake Ingestion: Fivetran, Python (Custom) Orchestration: Airflow / Dagster BI/Semantic Layer: Omni WHAT WE OFFER Opportunity to shape the financial foundation of an innovative healthcare model Collaborative and dynamic work environment An organization made of people who are passionate about changing the healthcare landscape Competitive salary, company equity and robust benefits package Professional development and growth opportunities A transparent and unique culture Harbor Health is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. We are committed to creating an inclusive environment for all clinicians and teammates and actively encourage applications from people of all backgrounds. Powered by JazzHR
Posted 3 weeks ago
Data Lakehouse Architect - Data Bricks
US BankSan Francisco, CA
$133,365 - $156,900 / year
At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One. Job Description Summary: As the Data Lakehouse Architect - Data Bricks, this role will be required to take ownership of designing, building, and optimizing enterprise-scale data platforms using Databricks. This role plays a key part in creating a modern data ecosystem that powers advanced analytics, AI/ML, and real-time processing across multi-cloud environments. This role will bring deep expertise in Databricks, Spark, and cloud technologies like AWS and Azure, combined with strong leadership skills to guide engineering teams. Focus will be on delivering secure, scalable, and cost-efficient solutions that align with business goals and drive measurable impact. Key Responsibilities: Define and execute the technical roadmap for Databricks-based data platforms, ensuring alignment with enterprise architecture and business priorities. Integrate Databricks with AWS/Azure services (e.g., S3, EC2, Glue) and manage DBU consumption through autoscaling and cost optimization strategies. Lead technical architecture of DataBricks Platform and its integration with 3rd party providers in a dual cloud setup. Enable customers to connect and execute robust ETL/ELT pipelines using PySpark and Spark SQL. Optimize cluster performance, job orchestration, and resource utilization for efficiency and cost control. Implement data governance policies, enforce access controls, and ensure compliance with regulatory standards using tools like Unity Catalog. Champion Agile methodologies and ensure disciplined use of Jira for backlog management, sprint planning, and progress tracking. Stay ahead of emerging technologies and Databricks features. Lead proof-of-concepts for new capabilities and drive automation for data workflows. Guide and mentor engineering teams, conduct code reviews, and enforce best practices. Foster collaboration and continuous improvement across cross-functional teams. Excellent stakeholder management and communication skills. Ability to lead large-scale, cross-functional projects in an Agile environment. Familiarity with Unity Catalog, Delta Live Tables, and advanced Databricks features. Basic Qualifications Bachelor's degree, or equivalent work experience Six to eight years of relevant technical experience Five or more years of leading a software engineering team Qualifications: 8+ years in data architecture, platform architecture, or related roles, with 3+ years in Databricks platform leadership. Experience with multi cloud complexities, Azure/AWS preferred. Expertise in PySpark, Spark SQL, and cloud services (AWS/Azure). Strong understanding of data architecture, governance, and security frameworks. Hands-on experience with CI/CD tools (GitLab, Jenkins) and infrastructure-as-code (Terraform). Preferred Financial Services experience or similar regulated industry experience. The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days. If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants. Benefits: Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following: Healthcare (medical, dental, vision) Basic term and optional term life insurance Short-term and long-term disability Pregnancy disability and parental leave 401(k) and employer-funded retirement plan Paid vacation (from two to five weeks depending on salary grade and tenure) Up to 11 paid holiday opportunities Adoption assistance Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law Review our full benefits available by employment status here. U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law. E-Verify U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program. The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $133,365.00 - $156,900.00 U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures. Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies. Posting may be closed earlier due to high volume of applicants.
Posted 3 days ago
Data Engineer II, Data Products
Crane Worldwide LogisticsHouston, TX
ESSENTIAL JOB FUNCTIONS Data Pipeline & Platform Development Build and maintain pipelines using dbt, Prefect, and Terraform Develop and manage connectors across sources and targets including Kafka, RDBMs, and Snowflake. Implement schema evolution, validation rules, and automated testing Support high-availability and disaster recovery design for Snowflake and Materialize Data Product Engineering Author and review schemas and data contracts for consistency and governance Develop and optimize dbt models for Snowflake and Materialize analytics layers Configure clusters and role-based access for shared environments Document datasets to ensure discoverability and proper usage across teams Stakeholder Collaboration Partner with BI developers, analysts, and business teams to deliver datasets that support reporting, dashboards, and integrations Investigate and resolve data issues, ensuring durable fixes Participate in design reviews to align technical solutions with business requirements Collaboration & Standards Contribute to PR and design reviews for pipelines and models Support platform governance, observability, and best practices for data quality Work with adjacent teams (Ops & Reliability, Analytics, Product) to align on SLAs and data definitions Other duties as assigned OTHER SKILLS AND ABILITIES Proficiency in Python and SQL for building and optimizing data pipelines Hands-on experience with dbt for modeling and testing, and Terraform for infrastructure-as-code Familiarity with modern data platforms: Snowflake, Materialize, Kafka, HVR, Fivetran, or Stitch Understanding of data contracts, observability, and governance practices Experience with CI/CD tools (GitHub Actions, GitLab CI, or similar) Ability to translate business needs into scalable technical solutions Knowledge of compliance frameworks (e.g., GDPR, CCPA, SOC 2) a plus EDUCATION AND EXPERIENCE Quantitative bachelors' degree preferred but not required Prior experience in a data engineering or data-heavy backend software engineering role PHYSICAL REQUIREMENTS Job requires the ability to use vision, adjust focus and work on a standard computer screen Job may require extended sitting or standing, use of standard office equipment CERTIFICATION AND LICENSES Professional certification may be required in some areas. WHY SHOULD YOU WORK FOR CRANE? At Crane, we believe in providing our employees with excellent benefits at a Great Place to Work. We offer: Quarterly Incentive Plan 136 hours of Paid Time Off which equals 17 days for the year, that can be used for Sick Time or for Personal Use Excellent Medical, Dental and Vision benefits Tuition Reimbursement for education related to your job Employee Referral Bonuses Employee Recognition and Rewards Program Paid Volunteer Time to support a cause that is close to your heart and contributes to our communities Employee Discounts Wellness Incentives that can go up to $100 per year for completing challenges, in addition to a discount on contribution rates Come join the leader in logistics and take your career in the right direction. Disclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. We maintain a drug-free workplace and perform pre-employment substance abuse testing. This position requires the final candidate to successfully pass an E-Verify Check. More Information: http://www.dhs.gov/e-verify Company benefits are contingent upon meeting eligibility requirements and plan conditions.
Posted 30+ days ago
Principal Product Manager, Data Product & Data Science
LaterBoston, MA
$210,000 - $250,000 / year
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Overview
Schedule
Full-time
Career level
Director
Remote
Hybrid remote
Compensation
$210,000-$250,000/year
Benefits
Health Insurance
Paid Vacation
Job Description
Later is the enterprise leader in social media and influencer marketing software, services, and data, trusted by leading brands and agencies worldwide. Following our acquisition of Mavely, the Everyday Influencer Platform, Later enables brands to scale creator partnerships from nano to premium influencers while managing social media content and campaigns across all major social and affiliate networks. Through proprietary performance data, marketing leaders can drive attributable sales and optimize social commerce with our software platform or award-winning services.
Later is founded on two success stories that began in 2014: Mavrck, the industry-leading influencer marketing solution (now Later Influence), and Later, the best social media management platform (now Later Social) and first-to-market link in bio tool, Later Link in Bio. In 2024, Mavrck and Later officially joined together as one unified business, with a shared vision: to enable the world to make a living with their creativity.
We're trusted by the top social platforms, with partnerships and integrations with Meta, TikTok, LinkedIn, YouTube, and Pinterest.
We enable marketers to create high-performing content and engage in authentic collaborations with creators to reach new audiences, drive engagement, and generate predictable ROI.
About this position:
Later's biggest opportunity in the creator economy is turning our unique, multi-source creator data into meaningful intelligence that drives better outcomes for brands, creators, and our internal teams. As Principal Product Manager, Data Product & Data Science, you will own the strategic data product roadmap that powers how creators are understood, evaluated, and matched to the right brand opportunities.
This is a net-new, highly visible role reporting directly to the Chief Product Officer. You will operate at the intersection of product strategy, data engineering, data science, and go-to-market teams-shaping how raw data becomes trusted signals, differentiated insights, and defensible competitive advantage across Later's platform, agency, and services offerings.
What you'll be doing:
Strategy
- Own and evolve the end-to-end creator data product strategy, spanning data acquisition, enrichment, modeling, quality, and insight generation.
- Define and maintain a long-term roadmap that improves the breadth, depth, freshness, and reliability of creator and audience data across all internal and external sources.
- Identify high-leverage data opportunities that unlock differentiation for Sales, Strategy, and Agency teams-turning data into a compelling narrative brands can buy into.
- Translate ambiguous business problems into clear data product bets, success metrics, and sequencing decisions.
Technical/ Execution
- Partner closely with Data Engineering and Data Science to shape schemas, pipelines, models, and feature sets that support scalable data products.
- Drive improvements to creator-level data including (but not limited to): social content signals, audience attributes, campaign performance metrics, Link in Bio behavior, commerce outcomes, and historical brand partnerships.
- Define and track a Data Quality Score and related KPIs that quantify completeness, accuracy, timeliness, and usability.
- Work hands-on with datasets using SQL and analytics tools to validate assumptions, explore opportunities, and pressure-test solutions.
- Guide development of data-derived insights that improve brand-creator matching, campaign planning, and performance prediction.
Team / Collaboration
- Serve as a trusted product partner to Strategy, Sales, Agency/Services, Search, Campaigns, Reporting & Analytics, and Platform Services teams.
- Align cross-functional stakeholders around shared definitions, priorities, and tradeoffs for data initiatives.
- Act as the connective tissue between technical teams and business leaders-ensuring data products are both technically sound and commercially meaningful.
- Influence without authority, using clarity, data, and strong product judgment to move teams forward.
Leadership
- Set a high bar for data product thinking, rigor, and storytelling across the Product organization.
- Mentor other product managers on data literacy, experimentation, and outcome-oriented product discovery.
- Champion a culture of curiosity, accountability, and customer-driven decision-making.
Research/Best Practices
- Stay ahead of emerging trends in data products, applied ML, creator analytics, and measurement.
- Continuously assess new data sources, modeling approaches, and tooling that could strengthen Later's competitive position.
- Bring external best practices into the organization while adapting them to Later's scale and business model.
What success looks like:
- Measurable improvement in creator data quality, coverage, and freshness, reflected in a consistently rising Data Quality Score.
- Internal teams trust and actively use creator data to make decisions about matching, pricing, strategy, and campaign design.
- Brands see clearer differentiation in how Later helps them identify the right creators-not just popular ones-for their goals.
- Sales and Strategy teams are equipped with data-backed stories that elevate conversations from execution to insight.
- Product, Data Engineering, and Data Science teams operate with shared clarity on priorities, metrics, and outcomes.
What you bring:
- 8+ years of product management experience, with meaningful ownership of data-heavy or platform-level products.
- Demonstrated experience building or scaling data products, not just dashboards-schemas, pipelines, signals, or models that power downstream use cases.
- Hands-on comfort with data tools and concepts (e.g., SQL, BigQuery, analytics workflows) and the ability to engage deeply in the details.
- Experience working alongside data science teams on algorithms, modeling, or applied ML-even if you were not the primary model builder.
- A proven ability to zoom out to the strategic narrative and zoom in to the weeds when necessary.
- Strong stakeholder management skills and a track record of influencing senior leaders in ambiguous environments.
Nice to have:
- Experience at a data-first or analytics-driven company.
- Exposure to social platforms, creator economy products, advertising technology, or agency environments.
- Familiarity with programmatic advertising, marketplace dynamics, or matching/recommendation systems.
How you work:
- Driven by Impact: You deliver results that matter-prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
- Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
- Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast-challenging the status quo with a mindset of improvement.
- Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive-removing roadblocks, sharing insights, and keeping morale high.
- Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
- Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.
Our approach to compensation:
We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.
Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.
To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted.
Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.
Salary Range:
$210,000 - 250,000 OTE
#LI-Hybrid
Where we work:
We have offices in Boston, MA; Vancouver, BC; Chicago, IL; and Vancouver, WA. For select positions, we are open to hiring fully remote candidates. We post our positions in the location(s) where we are open to having the successful candidate be located.
Diversity, inclusion, and accessibility:
At Later, we are committed to fostering a culture rooted in an inclusion-first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit. We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change.
We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.
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