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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.

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.

FleetPride is the largest after-market distributor of heavy-duty truck and trailer parts in the U.S. with some of the best and brightest people in the business! Partner with the best in the heavy-duty industry and apply today! The Data Analyst, Master Data Management will report to the Manager of Transactional Operations MDM and will be tasked with assisting with initiative and projects of data collection, clean up, publication and data quality. This individual will be responsible for establishing data quality, capturing requirements, Supplier onboarding including Score Card reviews. Additionally, this person will assist the MDM team as required on special projects, iSeries updates and various data management workloads as assigned. The selected Analyst, Master Data Management will use sound analytical, problem solving and troubleshooting skills to resolve issues and data related changes. They will be required to establish working relationship with our Suppliers and maintain connections both with our customers internally and externally to FleetPride. The Analyst will be working in a fast-paced environment and handle multiple tasks under tight deadlines. Responsibilities Establish working relationships with assigned Suppliers, create score cards and deliver month via online meetings to discuss metrics and specifics around missing data and enrichment opportunities. Work with Category Managers to onboard new products using MVP Smartsheet to create new SKUs in MDM Work with Category Managers and associated Suppliers to receive and research product data as needed to ensure fully attributes SKUs are available for downstream consumption. Work Service Now tickets as assigned in a timely fashion according to setup SALS established ensuring a proper resolution for all parties. Work collaboratively in a team environment Ability to think on their own and put effort into researching and finding the answers to resolve data related issues. Maintain and updates SKU and Location data as needed in IBM iSeries IS400 mainframe system. Identify and correct data errors including accurate costing, and location data in iSeries IS400. Collect and gather digital assets, images, PDFs and Safety data sheets for SKUs in the system and assign appropriately Skills Previous experience with quality control on product data and improvement programs Prior experience in Stibo STEP Master Data Management or similar MDM software Ability to create and analyze reports and data metrics. Proficient with Microsoft Office (Word, PowerPoint, Excel, Access, Outlook) and other statistical software Ability to write Excel formulas to manipulate data as needed. Intermediate knowledge of SQL, AS400 Attributes We believe the most productive teams are those that: Do work that interests, challenges, and professionally develops them Do things that contribute to the success of the company and team Like and respect the team members they work alongside every day As a result, we hire for Culture First, and are looking for candidates who possess the following: Action oriented, self-motivated, self-starter with a solution-oriented mindset Curious, innovative, and creative Glass half full optimism Natural problem solver, not afraid to ask questions and adept at learning new things rapidly Humble Leadership / Team Oriented Operates from the position of "do what's best for the business and team" Qualifications High School Diploma or GED Associate's preferred 1 to 2 years of relevant work experience in a B2B data management/PIM/MDM role Working knowledge of Product Information Management, Digital asset management, Governance best practices Previous AS400 inventory database experience preferred. This job description in no way states or implies that these are the only duties to be performed by this employee. He or she will be required to follow any other instructions and to perform any other duties requested by his or her supervisor. FleetPride is the leader in the industry comprised of retail, service, distribution and wholesale divisions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Who We Are At Corebridge Financial, we believe action is everything. That's why every day we partner with financial professionals and institutions to make it possible for more people to take action in their financial lives, for today and tomorrow. We align to a set of Values that are the core pillars that define our culture and help bring our brand purpose to life: We are stronger as one: We collaborate across the enterprise, scale what works and act decisively for our customers and partners. We deliver on commitments: We are accountable, empower each other and go above and beyond for our stakeholders. We learn, improve and innovate: We get better each day by challenging the status quo and equipping ourselves for the future. We are inclusive: We embrace different perspectives, enabling our colleagues to make an impact and bring their whole selves to work. Who You'll Work With The Information Technology organization is the technological foundation of our business and works in collaboration with our partners from across the company. The team drives technology and digital transformation, partners with business leaders to design and execute new strategies through IT and operations services and ensures the necessary IT risk management and security measures are in place and aligned with enterprise architecture standards and principles. About The Role We are seeking a highly skilled Salesforce Data Integration Engineer / Architect to design, implement, and optimize integration solutions that connect Salesforce with enterprise systems, data warehouses, and third-party applications. The role combines technical expertise in integration patterns with architectural vision to ensure secure, scalable, and high-performance data flows across platforms. You will design, build, and maintains seamless data flow between Salesforce and other systems, ensuring data quality, security, and accessibility. The candidate will be part of the Information management organization responsible developing integration solutions using Salesforce APIs, creating ETL pipelines for data migration, troubleshooting issues, and collaborating with cross-functional teams to meet business data needs. Responsibilities As a Leader, you are respected for your deep technical expertise and/or ability to oversee programs and processes. You balance the needs of multiple stakeholders, making sound decisions using data, analysis, experience, and judgment, along with a risk mindset. Ultimately, you take ownership for key outcomes. Responsibilities: Architecture & Design Design scalable data integration architecture between Salesforce (Sales Cloud, Service Cloud, Marketing Cloud, Data Cloud, AgentForce etc) and external systems. Define integration patterns (real-time, batch, event-driven, API-led, ETL) and select the appropriate approach per use case. Establish data governance, security, and compliance standards for data movement. Recommend middleware or integration platforms. Implementation Build, configure, and maintain integrations using REST/SOAP APIs, ETL tools, or custom solutions. Develop data pipelines for ingesting, transforming, and synchronizing Salesforce data with on-premises or cloud data warehouses (e.g., Snowflake, Redshift, BigQuery). Implement event-driven integrations using Salesforce Platform Events, Change Data Capture, or Streaming APIs. Optimize data flows for performance, error handling, retry logic, and resiliency. Data Management Define data models, mapping, and transformations between Salesforce and other systems. Ensure high-quality, clean, and consistent data across environments. Manage large-scale data migrations into and out of Salesforce, including validation, deduplication, and reconciliation. Monitor data pipelines and integrations for performance, availability, and compliance. Collaboration & Leadership Partner with Salesforce administrators, developers, business analysts, and enterprise architects to align integration design with business needs. Provide technical leadership and mentoring to integration developers or data engineers. Participate in code reviews, solution design sessions, and technical workshops. Document integration architecture, data flows, and technical standards. Skills and Qualifications The position calls for a seasoned IT professional with senior leadership qualities and background with 10+ years' experience in IT. 10+ years of experience of salesforce integration work. 5 + years of experience in delivering enterprise-level data integration projects. 5 + years of experience with cloud platforms AWS, Azure. Salesforce + integration platform certifications strongly recommended. Bachelor's degree in Information Technology or related field preferred, or equivalent work experience. 10+ years of experience in the IT Industry. Technical Expertise Strong hands-on experience with Salesforce APIs (REST, SOAP, Bulk, Streaming, Metadata APIs). Strong hands-on experience on Salesforce cloud applications like Service cloud, Experience cloud, Marketing Cloud, Data cloud. Experience with Salesforce AgentForce platform. Strong hands-on experience with Tableau as BI Platform to architect BI solutions on Salesforce ecosystem apps and third party data outside of salesforce. Proficiency with integration/middleware platforms (AWS API Gateway, MuleSoft). Experience with ETL/ELT processes and data pipeline development. Proficiency in SQL and working with relational databases (Oracle, SQL Server, PostgreSQL). Experience with cloud platforms (AWS, Azure, GCP) and data warehouses (Snowflake). Architecture Skills Ability to define integration architecture patterns (real-time sync, batch, event-driven, microservices-based). Understanding of API management, versioning, throttling, and security (OAuth, SAML, JWT, TLS). Knowledge of data governance, security, and compliance (GDPR, HIPAA, SOC2). Other Competencies Strong problem-solving and debugging skills. Experience with Agile/Scrum delivery. Excellent documentation and communication skills. Strong SQL skills and experience working with relational/dimensional databases (e.g., Oracle, SQL Server, Snowflake) and no-SQL databases like Cassandra/AWS Dynamo DB. Familiarity with data warehousing concepts and ETL processes Compensation The actual compensation offered will ultimately be dependent on multiple factors, which may include the candidate's geographic location, skills, experience and other qualifications. In addition, the position is eligible for a discretionary bonus in accordance with the terms of the applicable incentive plan. Corebridge also offers a range of competitive benefits as part of the total compensation package, as detailed below. Work Location This position is based in Corebridge Financial's Houston, TX, Woodland Hills, CA, or Jersey City, NJ office and is subject to our hybrid working policy, which gives colleagues the benefits of working both in an office and remotely. Estimated Travel May include up to 25%. #LI-SAFG #LI-CW1 #LI-Hybrid Why Corebridge? At Corebridge Financial, we prioritize the health, well-being, and work-life balance of our employees. Our comprehensive benefits and wellness program is designed to support employees both personally and professionally, ensuring that they have the resources and flexibility needed to thrive. Benefit Offerings Include: Health and Wellness: We offer a range of medical, dental and vision insurance plans, as well as mental health support and wellness initiatives to promote overall well-being. Retirement Savings: We offer retirement benefits options, which vary by location. In the U.S., our competitive 401(k) Plan offers a generous dollar-for-dollar Company matching contribution of up to 6% of eligible pay and a Company contribution equal to 3% of eligible pay (subject to annual IRS limits and Plan terms). These Company contributions vest immediately. Employee Assistance Program: Confidential counseling services and resources are available to all employees. Matching charitable donations: Corebridge matches donations to tax-exempt organizations 1:1, up to $5,000. Volunteer Time Off: Employees may use up to 16 volunteer hours annually to support activities that enhance and serve communities where employees live and work. Paid Time Off: Eligible employees start off with at least 24 Paid Time Off (PTO) days so they can take time off for themselves and their families when they need it. Eligibility for and participation in employer-sponsored benefit plans and Company programs will be subject to applicable law, governing Plan document(s) and Company policy. We are an Equal Opportunity Employer Corebridge Financial, is committed to being an equal opportunity employer and we comply with all applicable federal, state, and local fair employment laws. All applicants will be considered for employment based on job-related qualifications and without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, neurodivergence, age, veteran status, or any other protected characteristic. The Company is also committed to compliance with all fair employment practices regarding citizenship and immigration status. At Corebridge Financial, we believe that diversity and inclusion are critical to building a creative workplace that leads to innovation, growth, and profitability. Through a wide variety of programs and initiatives, we invest in each employee, seeking to ensure that our colleagues are respected as individuals and valued for their unique perspectives. Corebridge Financial is committed to working with and providing reasonable accommodations to job applicants and employees, including any accommodations needed on the basis of physical or mental disabilities or sincerely held religious beliefs. If you believe you need a reasonable accommodation in order to search for a job opening or to complete any part of the application or hiring process, please send an email to TalentandInclusion@corebridgefinancial.com. Reasonable accommodations will be determined on a case-by-case basis, in accordance with applicable federal, state, and local law. We will consider for employment qualified applicants with criminal histories, consistent with applicable law. To learn more please visit: www.corebridgefinancial.com Functional Area: IT - Information Technology Estimated Travel Percentage (%): Relocation Provided: American General Life Insurance Company

Medica is a nonprofit health plan with more than a million members that serves communities in Minnesota, Nebraska, Wisconsin, Missouri, and beyond. We deliver personalized health care experiences and partner closely with providers to ensure members are genuinely cared for. We're a team that owns our work with accountability, makes data-driven decisions, embraces continuous learning, and celebrates collaboration - because success is a team sport. It's our mission to be there in the moments that matter most for our members and employees. Join us in creating a community of connected care, where coordinated, quality service is the norm, and every member feels valued. This IT Data Analyst should have a background of Business, Systems, and Data Analysis. The role will involve working with the product owner to understand the business request and product need, perform detailed analysis of the requirements and data and creating user stories that will result in the data outcomes required. This position combines business process and data knowledge with experience in information technology to enable and improve business capabilities. Responsible for performing detailed data requirements analysis, documenting processes, and performing some user acceptance testing. To succeed in this role, you should have a natural analytical way of thinking and be able to explain difficult concepts to non-technical users. Performs other duties as assigned. Key Accountabilities Evaluating business processes, anticipating requirements, identifying areas for improvement, and developing and implementing solutions using data analysis and data profiling Gathering critical information from multiple stakeholders to specify and validate business reporting or data extracts using data mapping and data quality techniques Establishing accurate data definitions and producing audience appropriate data models for the business or project domain. Coordinating and assisting developers and QA analysts to ensure data is accurately recorded and used Understand requirements and identify non-functional requirements that will impact the data design Decompose Product Features into User Stories Actively engaged as core member of scrum teams to deliver on data programs\projects Work with ETL and QA to ensure all requirements are met by the solution. Work with DBA's to tune performance Create and maintain source to target mapping documents Conducting meetings and presentations to share ideas and findings Performing requirements analysis Documenting and communicating the results of your efforts Effectively communicating insights and plans to cross-functional team members and management Working closely with clients, technicians, and managerial staff Providing leadership, training, coaching, and guidance to junior staff Ensuring solutions meet business needs and requirements Managing projects, developing project plans, and monitoring performance Prioritizing initiatives based on business needs and requirements Serving as a liaison between stakeholders and users Required Qualifications Bachelor's degree in computer science or equivalent experience in related field 5 years of experience in software development and database applications with a majority of this experience in data strategy, sourcing, modeling, integration, and architecture Preferred Qualifications Strong knowledge of SQL and query tools 3+ years of Erwin tool experience Experience in health care payer domain Experience in data analysis, data profiling, data mapping, and data quality Understanding of logical, physical, dimensional or relational data models; ERwin experience is desired Experience working with data warehouses and data marts Experience in ETL, reporting and analytics, or business intelligence tools is nice to have Skills and Abilities Strong analytical and conceptual thinking skills Influencing stakeholders and work closely with them to determine acceptable solutions Familiarity with technology and data management principles. Excellent documentation skills Fundamental analytical and conceptual thinking skills Experience creating detailed reports and giving presentations A track record of following through on commitments Planning, organizational, and time management skills This position is an Office role, which requires an employee to work onsite, at our Minnetonka, MN office on average, 3 days per week. The full salary grade for this position is $100,300 - $172,000. While the full salary grade is provided, the typical hiring salary range for this role is expected to be between $100,300 - $150,465. Annual salary range placement will depend on a variety of factors including, but not limited to, education, work experience, applicable certifications and/or licensure, the position's scope and responsibility, internal pay equity and external market salary data. In addition to base compensation, this position may be eligible for incentive plan compensation in addition to base salary. Medica offers a generous total rewards package that includes competitive medical, dental, vision, PTO, Holidays, paid volunteer time off, 401K contributions, caregiver services and many other benefits to support our employees. The compensation and benefits information is provided as of the date of this posting. Medica's compensation and benefits are subject to change at any time, with or without notice, subject to applicable law. Eligibility to work in the US: Medica does not offer work visa sponsorship for this role. All candidates must be legally authorized to work in the United States at the time of application. Employment is contingent on verification of identity and eligibility to work in the United States. We are an Equal Opportunity employer, where all qualified candidates receive consideration for employment indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic.

The Data Governance team provides enterprise-wide oversight and enablement to ensure data is properly classified, documented, trusted, secure, and used responsibly. Acting as a bridge across business, engineering, privacy, and security teams, the team develops and operationalizes policies, standards, tooling, and metrics that reduce risk, improve data quality, enable AI, and drive cost accountability. PRIMARY ACCOUNTABILITIES As an Associate Data Engineer on the Data Governance team, you will support the implementation and day-to-day execution of Inmar's Data Governance program. This is a hands-on role focused on building, operating, and improving governance-related data engineering capabilities under the guidance of senior engineers. Governance Enablement & Automation Assist in building and maintaining automated, repeatable processes that implement data governance policies and standards. Support enforcement of required metadata, tagging, and ownership standards across cloud and on-prem data environments. Help embed governance controls into pipelines and platforms rather than relying on manual or ad hoc processes. Metadata, Cataloging & Lineage Publish and maintain datasets in the enterprise metadata catalog, ensuring required fields such as owner, description, classification, and lineage are captured. Assist with lineage documentation and validation for critical datasets and pipelines. Participate in metadata audits and help track adoption and compliance metrics. Data Classification & Sensitive Data Controls Help run and validate sensitive data scans (e.g., PII, PHI, PCI) using approved tools and scripts. Apply and verify data classification and asset tagging standards in alignment with enterprise policies. Support remediation efforts when gaps or inconsistencies are identified. Access Controls & Cost Transparency Support audits and reporting related to data access, ownership, and least-privilege enforcement. Assist with tagging and ownership initiatives that enable cloud cost visibility and accountability. Help maintain dashboards and reports that surface governance KPIs for technical and business stakeholders. Team Execution & Collaboration Follow established Data Governance team standards for communication, documentation, code reviews, releases, and handoffs. Participate in daily standups, Jira updates, PR reviews, and knowledge-sharing activities. Work closely with Data Governance, Data Quality, Privacy, Security, and Data Engineering partners. EDUCATION / QUALIFICATIONS / EXPERIENCE Required B.S. in Computer Science, Information Systems, Data Engineering, or a related field or equivalent practical experience (1-3 years). Experience with Python or another scripting language. Working knowledge of SQL and experience querying large datasets. Familiarity with ETL/ELT processes and workflow management tools (Airflow, dbt, etc). Familiarity with cloud platforms (GCP or AWS preferred; Azure acceptable). Understanding of core data governance concepts (metadata, quality, classification, access, lineage). Strong attention to detail, organization, and follow-through. Clear written and verbal communication skills. Preferred / Nice to Have Exposure to data governance, metadata, or cataloging tools (e.g., Dataplex, Data Catalog, DLP, BigID). Experience with relational databases (e.g., MySQL, SQL Server, PostgreSQL). Exposure to NoSQL databases. Experience with structured and semi-structured data formats (e.g., JSON, Parquet, Avro). Familiarity with Git/Github, and CI/CD concepts. Experience with troubleshooting, performance tuning, or optimization Interest in data privacy, compliance, and secure data handling practices. At Inmar, we put people first and that means empowering our associates to thrive at every stage of life and career. Our comprehensive and competitive benefits package is thoughtfully designed to support a wide range of lifestyles and life stages. Eligible associates have access to: Medical, Dental, and Vision insurance Basic and Supplemental Life Insurance options 401(k) retirement plans with company match Health Spending Accounts (HSA/FSA) We also offer: Flexible time off and 11 paid holidays Family-building benefits, including Maternity, Adoption, and Parental Leave Tuition Reimbursement and certification support, reflecting our commitment to lifelong learning Wellness and Mental Health counseling services Concierge and work/life support resources Adoption Assistance Reimbursement Perks and discount programs Please note that eligibility for some benefits may depend on your job classification and length of employment. Benefits are subject to change and may be governed by specific plan or program terms. At Inmar, compensation reflects our belief in integrity, transparency, and the value of individual contributions. The hiring range for this position is: 57,287.25 - 95,478.75 USD Annual The final offer may vary based on factors such as geographic location, job-related skills, education, certifications, work experience, and other relevant considerations. Depending on the job level and role, it may include: Annual discretionary bonuses through our Core Company Performance Bonus Plan Equity grants, sign-on bonuses, and other tailored incentive opportunities Additional discretionary compensation, such as: Growing Revenue Incentives Corporate or VIP Bonuses Deferred compensation opportunities The actual annualized salary offered at the time of hire will be communicated in the candidate's offer letter. We remain committed to fairness and transparency across all locations. Where required, including for remote-eligible roles, local pay ranges are disclosed in accordance with applicable laws and regulations. We are an Equal Opportunity Employer, including disability/vets. Recruitment Fraud Notice: Recruitment fraud is an increasingly common scam where individuals pose as employers to offer fictitious job opportunities. Scammers sometimes impersonate Inmar recruiters on LinkedIn and other channels. We will never ask for payment or sensitive personal information during the hiring process. Verify any role on our official Workday Careers site and learn how to spot scams in our full notice. This position is not eligible for student visa sponsorship, including F-1 OPT or CPT. Candidates must have authorization to work in the U.S. without the need for employer sponsorship now or in the future.

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: Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: 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 We are searching for the best talent for Director, R&D Data Science, Data Products- Global Regulatory Affairs. Purpose: The Director, Data Products- Global Regulatory Affairs 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 Regulatory Affairs organization. This role ensures that high-value internal and external regulatory data assets - including submission data, health authority correspondence, product labelling, regulatory intelligence, and real-world data (RWD/RWE) - are standardized, productized, and integrated into J&J's enterprise R&D data ecosystem. Working closely with Global Regulatory Affairs teams, Submission Management, Regulatory Operations, and Data Science stakeholders, this leader ensures that Global Regulatory Affairs data products are AI-ready, semantically consistent, and interoperable, enabling submission efficiency, enhanced compliance, and accelerated approvals. You will be responsible for: Data Product Strategy & Execution Lead a team to define and deliver data products addressing critical Global Regulatory Affairs use cases (e.g., submission planning, health authority commitment tracking, labelling management, regulatory intelligence analysis). Define and maintain a roadmap for Global Regulatory Affairs data products, spanning pre-submission activities through post-market surveillance. Develop data products through agile delivery and FAIR data principles, ensuring scalability, interoperability, and reuse across Janssen functions and with health authorities. Integrate internal and external Global Regulatory Affairs data sources, including health authority databases, regulatory intelligence feeds, and submission archives. Ontology & Semantic Modelling Contribute to the development and governance of a Global Regulatory Affairs Ontology to enable semantic consistency across submission, compliance, and intelligence domains. Align the Global Regulatory Affairs Ontology with enterprise metadata standards and external frameworks (e.g., ICH, IDMP, eCTD). Collaboration & Integration Partner with Knowledge Management, Data Product Architecture & Governance, and Master Data Management teams to ensure Global Regulatory Affairs data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogues. Collaborate with Global Regulatory Affairs and Data Science & Digital Health stakeholders to co-create solutions that maximize the value of regulatory data assets. Interface with technology and compliance teams to ensure data products meet global submission standards, transparency requirements, and health authority regulations. Team & Operating Model Leadership Lead a cross-functional team of product owners, data engineers, and Global Regulatory Affairs domain experts. Establish governance models, agile delivery processes, and value-tracking metrics for Global Regulatory Affairs data products. Value Realization & Communication Define and track KPIs to measure the impact of data products on submission timelines, compliance risk reduction, and operational efficiency. Communicate product vision, roadmap, and value realization to Global Regulatory Affairs leadership, Data Science teams, and executive stakeholders. Champion data literacy and adoption within the Global Regulatory Affairs organization. Strategic Impact The Director, Data Products- Global Regulatory Affairs ensures Global Regulatory Affairs data is transformed into trusted, AI-ready products that accelerate submissions, enhance compliance, and provide critical regulatory insights. By embedding semantic rigor and aligning with enterprise data strategy, this role positions Global Regulatory Affairs data as a strategic asset that enables submission excellence, proactive compliance, and innovation across J&J R&D. Qualifications / Requirements: Education PhD or Master's in informatics, computer science, life sciences, or related discipline. Experience 8+ years of experience in pharma/biotech R&D with a focus on Global Regulatory Affairs, regulatory operations, regulatory technology, or data product management. Strong track record in data product development, integration, or semantic modelling in a regulated domain. Experience working with multi-modal regulatory data, including submission, labelling, intelligence, and compliance datasets. Skills & Expertise Deep knowledge of Global Regulatory Affairs processes, submission pathways (e.g., eCTD), and global health authority requirements. Deep knowledge of data products, database design, and data transformation/mapping. Familiarity with metadata management, ontologies, knowledge graphs, and industry standards (e.g., IDMP, xEVMPD, ICH, eCTD). Strong leadership, collaboration, and communication skills, with the 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. Other This position has a primary location of Spring House, PA but is also open to Titusville, NJ. This position requires up to 25% travel. 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. #LIHybrid #JNJDataScience #JNJIMRND-DS Required Skills: Data Product Management, Global Regulatory Submissions Preferred Skills: Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Leadership, Ontology, Program Management, Semantic Modeling, Strategic Thinking, Succession Planning The anticipated base pay range for this position is : The anticipated base pay range for this position is $164,000 to $282,900 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

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. Organizational & Position Overview: The Bioproduct Research & Development (BR&D) organization strives to deliver creative medicines to patients by developing and commercializing insulins, monoclonal antibodies, novel therapeutic proteins, peptides, oligonucleotide therapies, and gene therapy systems. This multidisciplinary group works collaboratively with our discovery and manufacturing colleagues. We are seeking an exceptional Data Scientist with deep data expertise in the pharmaceutical domain to lead the development and delivery of enterprise-scale data products that power AI-driven insights, process optimization, and regulatory compliance. In this role, you'll bridge pharmaceutical sciences with modern data engineering to transform complex CMC, PAT, and analytical data into strategic assets that accelerate drug development and manufacturing excellence. Responsibilities: Data Product Development: Define the roadmap and deliver analysis-ready and AI-ready data products that enable AI/ML applications, PAT systems, near-time analytical testing, and process intelligence across CMC workflows. Data Archetypes & Modern Data Management: Define pharmaceutical-specific data archetypes (process, analytical, quality, CMC submission) and create reusable data models aligned with industry standards (ISA-88, ISA-95, CDISC, eCTD). Modern Data Management for Regulated Environments: Implement data frameworks that ensure 21 CFR Part 11, ALCOA+, and data integrity compliance, while enabling scientific innovation and self-service access. AI/ML-ready Data Products: Build training datasets for lab automation, process optimization, and predictive CQA models, and support generative AI applications for knowledge management and regulatory Q&A. Cross-Functional Leadership: Collaborate with analytical R&D, process development, manufacturing science, quality, and regulatory affairs to standardize data products. Deliverables include: Scalable data integration platform that automates compilation of technical-review-ready and submission-ready data packages with demonstrable quality assurance. Unified CMC data repository supporting current process and analytical method development while enabling future AI/ML applications across R&D and manufacturing Data flow frameworks that enable self-service access while maintaining GxP compliance and audit readiness Comprehensive documentation, standards, and training programs that democratize data access and accelerate product development Basic Requirements: Master's degree in Computer Science, Data Science, Machine Learning, AI, or related technical field 8+ years of product management experience focused on data products, data platforms, or scientific data systems and a strong grasp of modern data architecture patterns (data warehouses, data lakes, real-time streaming) Knowledge of modern data stack technologies (Microsoft Fabric, Databricks, Airflow) and cloud platforms (AWS- S3, RDS, Lambda/Glue, Azure) Demonstrated experience designing data products that support AI/ML workflows and advanced analytics in scientific domains Proficiency with SQL, Python, and data visualization tools Experience with analytical instrumentation and data systems (HPLC/UPLC, spectroscopy, particle characterization, process sensors) Knowledge of pharmaceutical manufacturing processes, including batch and continuous manufacturing, unit operations, and process control Expertise in data modeling for time-series, spectroscopic, chromatographic, and hierarchical batch/lot data Experience with laboratory data management systems (LIMS, ELN, SDMS, CDS) and their integration patterns Additional Preferences: Understanding of Design of Experiments (DoE), Quality by Design (QbD), and process validation strategies Experience implementing data mesh architectures in scientific organizations Knowledge of MLOps practices and model deployment in validated environments Familiarity with regulatory submissions (eCTD, CTD) and how analytical data supports marketing applications Experience with CI/CD pipelines (GitHub Actions, CloudFormation) for scientific applications Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $126,000 - $244,200 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

Red Hat's Global Sales Go-To-Market Strategy, Incentives & Data Analytics organization is seeking a Principal Data Engineer to work with a high degree of autonomy to lead the integration, automation, and optimization of complex data solutions. In this role, you will move beyond simple execution to provide technical leadership in data massaging, reconciliation, and architectural design. You will be responsible for building robust data pipelines, ensuring data governance, and collaborating with cross-functional teams to deliver high-quality data products that drive business decisions. What will you do? Advanced SQL Development: Write complex, highly optimized SQL queries across large datasets. You will be the subject matter expert for SQL query tuning and providing performance recommendations to the wider team. Python Automation: utilize advanced Python proficiency (including libraries such as Pandas and NumPy) to clean, massage, and merge raw datasets, automating complex data extraction and loading processes. Pipeline Orchestration: Design, schedule, and monitor robust data pipelines using tools like Airflow. You will take ownership of debugging workflows and resolving performance bottlenecks. Data Stewardship: Act as a guardian of data integrity. This includes leading initiatives on data governance, compliance, transformation, and validation audits. Automated Testing & CI/CD: Develop and maintain automated unit, end-to-end, and integration tests to ensure data accuracy. Participate actively in version control (Git) and CI/CD processes for deploying pipeline changes across environments. Cross-Functional Leadership: Partner with Analysts, Engineers, and Operations teams to understand data needs and ensure data accessibility for business stakeholders from the finance and operations organizations. Problem Solving: Apply strong analytical skills to translate complex algorithms into efficient software solutions, converting raw data into actionable insights by identifying trends, outliers, and distributions. What will you bring? Experience: 5+ years of experience as a Data Engineer, BI Engineer, or Systems Analyst in an enterprise environment with large, complex data sources. Education: Master's degree in Computer Science, IT, Engineering, or equivalent experience. Expert SQL: Deep expertise in relational databases (PostgreSQL, MSSQL, etc.) and query optimization. Expert Python: Strong programming skills for data querying, cleaning, and presentation, with hands-on experience in data-centric libraries. Modern Stack Experience: Working knowledge of DBT (Data Build Tool) and Snowflake data warehousing is highly desirable. ELT/ETL Tools: Experience with Fivetran or similar integration tools. Autonomy: Ability to manage multiple projects simultaneously in a fast-paced, distributed team environment across different time zones and cultures. Troubleshooting: Exceptional logic and reasoning skills to troubleshoot complex data issues. Planning: Ability to think strategically about data architecture and project planning. #Li-NG1 The salary range for this position is $120,720.00 - $199,120.00. Actual offer will be based on your qualifications. Pay Transparency Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. About Red Hat Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Benefits ● Comprehensive medical, dental, and vision coverage ● Flexible Spending Account - healthcare and dependent care ● Health Savings Account - high deductible medical plan ● Retirement 401(k) with employer match ● Paid time off and holidays ● Paid parental leave plans for all new parents ● Leave benefits including disability, paid family medical leave, and paid military leave ● Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more! Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States. Inclusion at Red Hat Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.

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.

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

Back to jobs Sr. Director of Data Analytics, Data Science & AI Beverly Hills, California, United States Apply WHY JOIN ALO? Mindful movement. It's at the core of why we do what we do at ALO-it's our calling. Because mindful movement in the studio leads to better living. It changes who yogis are off the mat, making their lives and their communities better. That's the real meaning of studio-to-street: taking the consciousness from practice on the mat and putting it into practice in life. OVERVIEW We are seeking a Senior Director to lead Data Analytics (Digital), Data Science, and Artificial Intelligence, as a unified strategic capability. This role sits at the intersection of business insight, advanced analytics, and applied AI. You will shape how data and intelligence drive decisions, experiences, and operational excellence across the company-especially in marketing and digital and customer engagement. This leader is both a strategist and a builder: setting vision, developing talent, and ensuring measurable impact, while staying close enough to the work to guide technical direction and architectural choices. RESPONSIBILITIES Set the vision and roadmap for Data Science, AI, and Digital Analytics, aligned to business priorities and growth strategy. Lead and scale high-performing teams across data science, applied AI/ML, experimentation, and digital analytics. Drive advanced analytics and AI use cases including personalization, forecasting, optimization, experimentation, generative AI, and decision intelligence. Own digital analytics strategy-ensuring accurate, trusted measurement across web, mobile, and emerging digital experiences, and translating signals into action. Bridge insight to execution by partnering closely with product, marketing, engineering, operations, and executive leadership. Evaluate and govern AI platforms and tooling, balancing build vs. buy decisions, cost, scalability, and long-term flexibility. Establish responsible AI and data practices, including model governance, experimentation standards, and measurement of business impact. Tell compelling data stories-turning complex analyses and models into clear narratives that drive confident decisions at the executive level. QUALIFICATIONS A seasoned leader with deep experience in data science and applied AI, and a strong grasp of modern analytics ecosystems. Comfortable operating at multiple altitudes-from board-level strategy to hands-on technical guidance. Experienced in product and digital analytics, experimentation frameworks, attribution, and customer behavior analysis. Fluent in ML concepts and architectures (predictive models, NLP, recommendation systems, generative AI) and how they create real business value. Adept at building teams, culture, and operating models that scale across functions and geographies. Pragmatic, impact-driven, and allergic to vanity metrics. 12+ years in analytics, data science, or AI, with significant leadership experience. Strong foundation in statistics, machine learning, and experimentation. Experience in retail, e-commerce, consumer products, or digital platforms. Experience with cloud data and AI platforms (AWS, GCP, Azure) and modern analytics stacks. Proven track record of driving measurable outcomes through data and AI initiatives. Exposure to generative AI at scale and AI-enabled product development. Prior ownership of company-wide analytics standards or AI governance. The base salary range for this position is $250,000-$320,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company's total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits. For CA residents, Job Applicant Privacy Policy HERE. Create a Job Alert Interested in building your career at ALO? Get future opportunities sent straight to your email. Create alert Apply for this job indicates a required field Autofill with MyGreenhouse First Name* Last Name* Preferred First Name Email* Phone Country Phone Resume/CV AttachAttach Dropbox Google Drive Enter manuallyEnter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter AttachAttach Dropbox Google Drive Enter manuallyEnter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Are you legally authorized to work in the United States without employer support or sponsorship? * Select... Will you require sponsorship to work in the United States at any time in the future? * Select... Are you currently based in the greater LA area and are you comfortable working onsite full-time? * Select... Have you previously been employed by either ALO or BELLA+CANVAS?* Select... Submit application

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust About our AI and Data Capability Team Our consultants on the AI and Data Analytics Capability team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science services, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as intelligent automation. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness. What You Will Do: Design and lead AI/ML and analytics solutions using best-in-class tools and platforms. Translate business challenges into actionable use cases and scalable data and AI products and services. Translate complex business challenges into actionable AI/ML and data solutions using platforms such as Snowflake, Databricks, Azure, AWS, and GCP. Lead client engagements from strategy through implementation, ensuring delivery excellence and measurable outcomes. Mentor and lead multidisciplinary teams including scientists, engineers, and consultants. What You Will Need: US Citizenship is required Bachelor's degree is required. Minimum FIVE (5) years of experience delivering technical solutions and programs to public sector organizations. Experience in data and AI system development, with a proven ability to design scalable architectures and implement reliable models. Strong foundational knowledge and experience in statistics, probability, and experimental design. Experience applying data governance concepts and techniques to assure greater data quality and reliability. Hands-on experience with Python, SQL, and modern ML frameworks. Strong understanding of best practices and techniques to support data and AI products across their entire lifecycle. Knowledge of generative AI and large language models (LLMs) for enterprise use cases. The knowledge and interest to remain current on emerging trends and techniques in the fields of data science and Artificial Intelligence. Strong communication skills to bridge technical and business worlds. What Would Be Nice To Have: Experience with MLOps and CI/CD pipelines for AI/ML deployment. Demonstrated work experience within the public sector. Familiarity with data privacy regulations (GDPR, CCPA) and ethical AI frameworks. Advanced Degree (Master's or Ph.D.) in Data Science, Computer Science, AI, or related field. Experience with API development and integration for data services. Experience supporting business development including RFP/RFQ/RFI responses involving data science / analytics. #LI-DNI The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family : Database Administration (Digital) Travel Required : None Clearance Required : Ability to Obtain Public Trust What You Will Do : We are searching for Lead Data Engineer, Health Data Platforms to support future opportunities. The person filling this role will build, scale, and maintain national-scale data pipelines, integrations, and storage solutions that power laboratory, research, and healthcare operations. They will lead the modernization and harmonization of diverse clinical data, ensuring interoperability, data quality, and compliance across platforms. This position will be based in Bethesda, MD. Architect and modernize robust, disease-agnostic data acquisition and ingestion pipelines for large-scale, heterogeneous healthcare data (e.g., EHRs, claims, registries, geospatial data). Design, implement, and maintain ETL/ELT pipelines across cloud platforms (AWS, Azure, GCP). Design and maintain scalable, reliable, and flexible applications using TypeScript, NodeJS, Angular, and RESTful web services to support data workflows. Integrate data sources including ELN, LIMS, sample tracking software, web-based portals, and REST APIs. Maintain and enhance data harmonization pipelines such as OMOP, improve interoperability among data models including OMOP, PCORNet, and FHIR, and ensure consistency and alignment for critical data types to support master data integration and harmonization. Implement and manage data storage solutions (data lakes, warehouses) utilizing the appropriate partitioning, security, and lifecycle policies. Champion data quality and governance standards through the development of sophisticated data quality frameworks, dashboards, and feedback loops to ensure transparency in data completeness, consistency, and quality for partners and researchers. Optimize pipeline performance, reliability, and cost by establishing monitoring and alerting functions. Innovate with advanced technologies: integrate new data sources (e.g., national mortality data, CMS), link datasets, and build processes for novel data types (geospatial, environmental). Collaborate with informatics, bioinformatics, and platform teams to define data models and SLAs. Provide technical leadership and mentorship Translate scientific needs into technical solutions in an agile, mission-focused environment. Implement CI/CD for data workflows and infrastructure-as-code (e.g., Terraform, ARM, CloudFormation). Document data architectures, lineage, and standards. What You Will Need : Bachelor’s degree in Computer Science, Engineering, Data Engineering, Bioinformatics, or related field. A minimum of EIGHT (8) years of hands-on data engineering experience Deep, practical knowledge of healthcare data, common data models (OMOP, FHIR), and clinical terminologies (such as ICD, SNOMED, RxNorm). Solid experience with big data technologies (Apache Spark, Hadoop), containerization (Docker), and reproducible/scalable workflows. Hands-on experience with cloud services and REST API integrations. Strong SQL, Python, and version control (Git) skills. Experience with privacy-preserving record linkage (PPRL), federated data systems, and regulated environments (FISMA, HIPAA). What Would Be Nice To Have : Master’s degree is preferred Designing/deploying data solutions on cloud platforms (AWS, GCP, Azure). Proficiency with workflow management systems (Nextflow, Snakemake, Airflow). Experience with regulated environments (GxP, 21 CFR Part 11) and data governance. Proficiency with modern data tools (e.g., Spark/Databricks, Airflow, dbt, Kafka) is a plus. The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Parental Leave 401(k) Retirement Plan Group Term Life and Travel Assistance Voluntary Life and AD&D Insurance Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts Transit and Parking Commuter Benefits Short-Term & Long-Term Disability Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities Employee Referral Program Corporate Sponsored Events & Community Outreach Care.com annual membership Employee Assistance Program Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.) Position may be eligible for a discretionary variable incentive bonus About Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Description Job Description Summary: We are looking for a skilled and experienced Data Governance COE Senior Lead focused on Data Safety and Controls. This individual contributor owns end-to-end design and delivery of data governance and data management solutions that consider people, process, and technology. The Senior Lead documents and maintains enterprise requirements, gathers inputs from stakeholders across the organization, and translates those needs into actionable controls, operating procedures, and enabling tooling. The role is hands-on, and delivery focused and helps mature our program while strengthening audit readiness and regulatory alignment. Duties and Responsibilities: Design end-to-end data governance and data management solutions that integrate people, process, and technology and align to enterprise standards and regulatory expectations Lead the development, documentation, and maintenance of data safety and control requirements with clear traceability to policies, laws, and risks Collect and consolidate requirements from technology, cybersecurity, risk, compliance, legal, business stakeholders, and program teams and maintain a single source of truth Facilitate working sessions and reviews to validate requirements and solution designs and ensure shared understanding across functions Own and maintain the processes that support data safety and controls work including documenting process steps, clarifying roles, defining handoffs, and ensuring processes stay current as requirements evolve Translate regulatory, policy, and risk expectations into practical control requirements, process maps, playbooks, and standard operating procedures Partner with technology and product teams to embed requirements into delivery lifecycles, change management, testing, and control monitoring Support control assessments, gap analysis, remediation planning, and track issues to closure with clear timelines and owners Develop reporting, KPIs, and dashboards that show compliance posture, control effectiveness, and audit readiness Drive maturity across core capability areas including: Data Protection and Compliance including privacy alignment, regulatory readiness, PCI considerations, records retention support, and third-party data risk inputs Data Management and Accountability including classification, lifecycle management, documentation, data lineage, role clarity, and control health Prepare and maintain training materials and job aids that enable role clarity and adoption of data governance expectations Serve as a subject matter expert on data safety and controls and provide guidance to delivery teams and stakeholders Contribute to program governance routines by preparing materials, providing insights, and escalating risks or blockers as needed Basic Qualifications: Bachelor's Degree or equivalent relevant work experience 10+ years of experience implementing data governance frameworks (e.g., data policies, standards, and controls), experience developing and/or implementing data governance policy and standards, and experience working with IT and/or business segments on the analysis of complex business processes and data governance needs 5+ years of experience serving as a process owner with accountability for designing, maintaining, and continuously improving operational processes Demonstrated experience collaborating across technology, risk, legal, and business teams to implement governance or control practices Demonstrated experience documenting requirements, designing solutions that span people, process, and technology, and facilitating cross-functional working sessions Hands-on experience applying governance or control practices within a complex environment Ability to create visually compelling, executive ready strategic decks that communicate complex concepts clearly and drive alignment Preferred Qualifications: Experience operating within regulated organizations Working knowledge of data privacy and security regulations and standards such as GDPR, CPRA or CCPA, GLBA, FFIEC guidance, and PCI DSS Ability to communicate effectively, influence without authority, and support cross functional delivery Familiarity with data classification, retention practices, third party data considerations, and audit support activities Exempt Status: (Yes = not eligible for overtime pay) ( No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Compensation Range: 93,000.00 - 189,000.00 USD Annual The compensation range represents the low and high end of the base compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Senior Data Analyst At Current, we’re on a mission to enable our members to create better financial outcomes for themselves. Headquartered in NYC, we’re a leading U.S. fintech and one of the fastest growing companies with over million members. No matter your title, we welcome everyone to build great products, grow quickly, and make an impact together. ABOUT THE ROLE We are looking for a Senior Data Analyst with experience in B2C/DTC Member Experience or Customer Success. In this role, you will use data to drive strategic decisions, improve business performance, and enhance our customer interactions to create a seamless user experience. You will use advanced analytics to find trends, evaluate performance, and deliver strategic insights that facilitate data-driven decision-making within the Member Experience team and across the organization. The ideal candidate has a deep understanding of customer behavior, a passion for data-driven decision-making, and a proven ability to translate insights into actionable strategies. RESPONSIBILITIES Analyze member experience data to identify trends, pain points, and opportunities for operational efficiency. Develop and maintain data pipelines, dashboards and reports to track key performance indicators (KPIs) that tie customer success effectiveness, member satisfaction, and engagement to business bottomline metrics. Utilize internal and third-party data to conduct in-depth analyses, identify gaps, mitigate friction and pain points, and optimize customer interaction across channels. Partner with cross-functional teams, including Product, Engineering, and Customer Success, and leverage such techniques as A/B testing and customer segmentation to enhance personalization and support strategies. Provide actionable insights to leadership on customer outreach behavior, support efficiency and satisfaction, and areas for innovation. Ensure data integrity, accuracy, and governance in analytics pipelines across multiple customer interaction channels. Participate in on-call rotation to support production analytics data pipelines. Mentor junior analysts and contribute to a data-driven culture within the team. ABOUT YOU 5+ years of experience in data analytics, preferably in fintech, banking, or a customer-centric industry. Strong proficiency in SQL, Python, or R for data analysis and manipulation. Experience building reports and dashboards using data visualization tools such as Tableau, Looker, or Power BI. Expertise in customer support analytics, customer satisfaction score (CSAT) analysis, and operational efficiency metrics. Experience in A/B testing, customer segmentation, and deep dive analysis in the context of informing business strategies from user behaviors. 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. Strong project ownership and the ability to drive requirement gathering and prioritization. Experience with CRM systems (e.g., Zendesk) and customer feedback tools is a plus. Experience within the startup space is advantageous. 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 Stock options 401(k) savings plan Discretionary performance bonus program Biannual performance reviews Medical, Dental and Vision premiums covered at 100% for you and your dependents Unlimited time off and paid holidays Generous parental leave policy Commuter 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

Integra FEC (Financial Economic Consulting) is a litigation and economic consulting firm that exists to restore integrity to the financial system through forensic data analytics. We work with government agencies and law firms in their efforts to combat a wide array of financial fraud, in areas ranging from securities to healthcare to crypto assets. We are looking for strong candidates with quantitative and financial backgrounds and a natural curiosity to learn to join our team and help tackle complex projects by efficiently analyzing data. Main responsibilities include: Plan, develop, and take ownership in data-intensive investigations related to financial fraud Write scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights Construct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to analyze potentially fraudulent conduct Summarize and present findings to technical and non-technical audiences, through long-form reports, charts and slides Anticipated to grow toward managing projects and communicating with clients Job Qualifications 3+ years of relevant work experience Background in statistics, mathematics, engineering, computer science, data science, accounting, finance, economics, or other quantitative field Demonstrated experience with R, Python, and/or SQL Attention to detail Intellectual curiosity and interest in fraud analysis Highest ethical standards Strong teamwork abilities Preferred Excellent skills in R, Python, and/or SQL Background in economic/management consulting or finance Knowledge of financial concepts and principles Knowledge of crypto, decentralized finance, or smart contracts Demonstrated aptitude for research Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

About US: We are a company that provides innovative, transformative IT services and solutions. We are passionate about helping our clients achieve their goals and exceed their expectations. We strive to provide the best possible experience for our clients and employees. We are committed to continuous improvement and innovation, and we are always looking for ways to improve our services and solutions. We believe in working collaboratively with our clients and employees to achieve success. DS Technologies Inc is looking for Data Engineer – Data Warehouse rolefor one of our premier clients. Job Title: Data Engineer – Data Warehouse Location: New York, NY (Hybrid – 3 days onsite at Amex Tower) Duration: Long Term Contract Only W2 Work Arrangement: Hybrid: 3 days onsite at the American Express Tower, New York, NY . Job Description: We are seeking an experienced Data Engineer with strong expertise in ETL development, data warehousing, and large-scale data processing . The ideal candidate will have a solid understanding of data modeling, SQL, and Python-based ETL pipeline development. This role involves building and maintaining data pipelines that enable analytics, governance, and reporting across various enterprise systems. Key Responsibilities: Design, develop, and deploy ETL pipelines using Python from scratch. Write efficient, reusable, and modular code adhering to OOP principles. Design and optimize data models including schemas, entity relationships, and transformations. Develop and analyze SQL queries across multiple RDBMS systems (SQL Server, DB2, Oracle). Work with data warehouses such as BigQuery and Databricks Delta Lakehouse for ingestion, cleansing, governance, and reporting. Create, manage, and monitor Airflow DAGs for scheduling and workflow automation. Collaborate with cross-functional teams to ensure data consistency, accuracy, and accessibility. Troubleshoot data issues and optimize ETL performance. Required Skills & Experience: 6+ years of experience in Data Engineering, ETL Development, and Data Warehousing . Strong programming skills in Python with proven experience in ETL pipeline design. Expertise in SQL , RDBMS (MS SQL Server, DB2, Oracle). Hands-on experience with Airflow for orchestrating workflows. Solid understanding of OOP concepts and data modeling principles. Experience with BigQuery , Databricks Delta Lakehouse , or similar data warehouse technologies. Familiarity with Spark is a strong plus. Nice to Have: Experience with IBM Apptio platform and cost management data workflows. Knowledge of Node.js for integration scripting or data API handling. Flexible work from home options available. Compensation: $51.00 per hour We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Intern/Trainee Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you will have the chance to work on a variety of assignments, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are encouraged to ask questions, take initiative, and produce quality work that adds value for our clients and contributes to our team’s success. During your time at the Firm, you start to establish your personal brand, paving the way to more opportunities. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. The OpportunityAs a Cloud Engineering, Data & Analytics - Data Science Intern, you will engage in a dynamic environment where you will support teams in delivering data-driven insights and solutions. This role offers a unique chance to immerse yourself in the world of data science, working alongside seasoned professionals to analyze complex datasets and contribute to impactful projects. As an Intern, you will focus on learning and gaining exposure to PwC's practices, supporting teams with basic tasks, and participating in projects that enhance your understanding of data analytics and its applications.In this role at PwC, you will have the opportunity to develop your skills in data modeling, financial data mining, and machine learning, while also gaining hands-on experience with tools like Python and statistical analysis software. You will be encouraged to ask questions, take initiative, and produce quality work that adds value to our clients and contributes to our team's success. This is an exciting opportunity to start building your personal brand and pave the way for future opportunities in the field of data science.Responsibilities- Supporting teams in data analysis and analytics projects to gain exposure to industry practices- Conducting research and gathering information to assist in the development of data-driven insights- Participating in algorithm development and machine learning initiatives to enhance predictive analytics capabilities- Utilizing tools such as Alteryx, Power BI, and Tableau for data visualization and complex data analysis- Assisting in data validation and data security processes to maintain data integrity- Engaging in customer analysis and business data analytics to inform strategic decision-making- Applying Python programming skills to develop and refine data models and statistical analysis- Collaborating with team members to create dashboards and reports that communicate key performance indicators and trendsWhat You Must Have- Currently pursuing or have completed a Bachelor's degree- Client service intern positions are entry-level roles intended for job seekers who are in their third year of a four-year degree program or fourth year of a five-year program at the time of application. Winter internships typically occur during the spring semester preceding the student's final year of school Summer internships typically take place during the summer preceding the student's final year of schoolWhat Sets You Apart- Preference for one of the following field(s) of study: Management Information Systems, Information Technology, Computer Science, Data Analytics, Data Science, Statistics, Mathematics- Preference for a 3.3 overall GPA- Demonstrating proficiency in Python for data analysis- Utilizing machine learning techniques for predictive analytics- Applying data visualization skills with Tableau and Power BI- Conducting complex data analysis to derive actionable insights- Developing algorithms to enhance data processing efficiency- Engaging in analytic research to support data-driven decisions-Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-workPwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.