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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.

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.

We are seeking a Senior Data Architect to lead automation-driven modernization of data and reporting workloads in a highly regulated environment. This role focuses on reducing manual effort, accelerating delivery, and improving reliability through scalable architecture, automation, and AI-assisted tooling. The scope spans legacy data pipelines, analytics platforms, and multi-instance data environments. Reporting modernization is one workload among several; the broader mandate is to design and scale repeatable modernization patterns that can be applied consistently across multiple implementations. This is a senior, hands-on role with ownership across architecture and execution, suited for someone who brings clear thinking, structured problem-solving, and disciplined delivery to complex modernization efforts. Responsibilities Assess existing data and reporting environments to identify opportunities where automation can replace manual work Design and drive an automation-first data architecture that supports scalable modernization across multiple environments Define and implement repeatable patterns for modernizing legacy data pipelines, analytics workloads, and reporting systems Leverage AI-assisted and tool-based approaches to accelerate modernization while maintaining control and compliance Establish architectural guardrails to ensure modernization efforts are consistent, auditable, and reliable Partner closely with data engineering, platform, and delivery teams to translate architecture into executable solutions Stay actively involved in hands-on execution to validate designs and drive outcomes Provide clear technical direction and pragmatic decision-making throughout the modernization lifecycle Required Experience 10+ years of experience in data engineering or data architecture A proven track record of modernizing complex, legacy data and reporting environments Demonstrated ability to reduce manual effort through automation, accelerators, or AI-assisted tooling Strong grounding in data architecture and analytics layers Experience designing and operating data pipelines and processing workflows Knowledge of data quality, validation, and reconciliation Experience owning both architectural design and hands-on execution Experience operating in large-scale or regulated environments, with attention to compliance, control, and risk Preferred Experience Experience supporting payer or healthcare data environments Background working across multi-instance or multi-tenant data platforms Experience acting as a technical lead or thought partner on modernization initiatives McLaren Strategic Solutions is a leading-edge global technology consulting firm, addressing critical challenges across industries such as retail, financial services, and healthcare. Integrating a powerful ecosystem of platforms with capital-efficient execution, McLaren specializes in digital transformation to help businesses optimize operations, accelerate revenue, and achieve scalable outcomes. McLaren’s expertise spans the development of customer-centric applications, modernizing systems for cost-effectiveness and security, and leveraging cloud scalability for future-ready architectures. With a deep commitment to operational excellence, McLaren provides comprehensive managed services, including application maintenance, cybersecurity, platform solutions, and AI-optimized operations, ensuring seamless, secure, and efficient performance. From supply chain automation to compliance and analytics, McLaren drives measurable impact: improving workforce productivity, reducing inventory costs, and cutting technology ownership expenses. With its emphasis on automation and zero business downtime, McLaren facilitates seamless migrations from legacy systems to modern platforms, enabling organizations to harness the full potential of digital transformation. Backed by strategic partnerships and a proven delivery model, McLaren empowers clients to innovate, modernize, and achieve lasting success in today’s digital economy. McLaren is a certified minority owned business through the NMSDC and has a mission to place more people from non-traditional backgrounds into sustainable technology careers. Through partnerships with non-profit technology programs in underserved communities and Veteran organizations, candidates transition from tech training programs into real IT careers at McLaren. Our unique recruitment policy allows us to create exceptional teams, bringing a broad spectrum of experience to our company and creating anything but a traditional consulting firm. Visit McLaren Strategic Solutions to learn more! Doran Jones Inc. is proud to be part of the McLaren Strategic Ventures Group.

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.

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.

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.

Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry. Job Description: We are looking for an experienced ETL Engineer to join our Data Engineering team. The ideal candidate will have a strong understanding of ETL processes and technologies, as well as experience with a variety of data sources. The ETL developer will be responsible for designing, developing, and maintaining ETL pipelines that extract, transform, and load data into our data warehouse. As a member of the Data Analytics team, you will provide meaningful firm-wide contributions that uphold the team’s dedication to “One Crowe”. We strive for an unparalleled client experience and look to you to promote our success. Additionally, you will work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution. Specific responsibilities include but are not limited to: Identify & map source data in various commercial and custom systems Design, develop, test and maintain ETL pipelines Extract, transform, and load data from a variety of data sources Work with data engineers and other stakeholders to define data requirements Troubleshoot and debug ETL pipelines Stay up-to-date on ETL technologies and best practices Formulate development estimates (task, effort, dependencies, etc.) Develop test cases and demonstrate results for assigned deliverables. Maintain and present daily/weekly status Articulate project deliverable details and activities to client and project team members Adapt to various industries and quickly learn the client’s context, language, and jargon to clearly document and translate business requirements to development plans Maintain a professional presence and be ready to interact with the client at all times Qualifications Bachelor's degree in computer science, information technology, or a related field 3+ years of experience in ETL development Hands on experience with Bank Secrecy Act (BSA), Financial Audits, or Anti-Money Laundering (AML) regulations and compliance requirements. Previous consulting experience or experience working with external clients Strong understanding of ETL processes and technologies Experience with a variety of data sources, including relational databases, flat files, and web APIs Experience with Python, Java, or another programming language Experience with data warehouse technologies, such as Azure, AWS, and Snowflake Excellent problem-solving and debugging skills Strong communication and teamwork skills Solid understanding of software development life cycle models as well as expert knowledge of both Agile and traditional project management principles and practices and the ability to blend them together in the right proportions to fit a project and business environment Technical background, with understanding or hands-on experience in enterprise solutions for different industries High-level knowledge of BI architecture or data warehousing Excellent written and verbal communication skills Effectively managing multiple deliverables, clients and projects in a fast-paced environment Strong problem solving and analytical skills Certifications (Preferred) Certifications in BI (ETL tools, visualization tools, cloud architectures) are expected Certifications such as CAMS (Certified Anti-Money Laundering Specialist), CFE (Certified Fraud Examiner). Key Stakeholders This Role Interacts With: Internal Senior BI Analyst Data Product Manager BI Architect / Senior Architect Data Engineers Report Developer (Power BI, Tableau) External C-Suite executives, business leaders, and department heads Data Owners, Data Stewards Enterprise Information Management and Data Governance Team IT Staff – Architects, DBAs, Developers, etc We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Crowe is not sponsoring for work authorization at this time. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Crowe, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $104,500.00 - $208,300.00 per year. Our Benefits: Your exceptional people experience starts here. At Crowe, we know that great people are what makes a great firm. We care about our people and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you! How You Can Grow: We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper! More about Crowe: Crowe (www.crowe.com) is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country's best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world. Crowe LLP provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, genetics, national origin, disability or protected veteran status, or any other characteristic protected by federal, state or local laws. Crowe LLP does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge. Crowe will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Please visit our webpage to see notices of the various state and local Ban-the-Box laws and Fair Chance Ordinances, where applicable. If you are interested in applying for employment with Crowe and are in need of an accommodation or require special assistance to navigate our website or to complete your application, please visit our Applicant Assistance and Accommodations page for more information: https://careers.crowe.com/crowe-applicant-assistance-and-accommodation

Ibotta is seeking a Staff Data Scientist, Core Data & Analytics to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. Our growing Core Data & Analytics Data Science Team provides high-quality, on-time data science-related products and services across all business areas and teams within Ibotta. We do this by providing thought leadership, subject matter expertise, evangelism and governance of business-critical data science initiatives. This role will be primarily focused on building data assets and analytics solutions for the revenue organization. As a Staff Data Scientist, you’ll have the unique, challenging, and rewarding opportunity to be responsible for using the latest developments in statistics and machine learning. Using these skills, you will identify and build strategic opportunities to grow the business, support initiatives, and drive value. In addition, you will be expected to build accurate and reliable Machine Learning models for use throughout the organization. You’ll be able to create and own greenfield opportunities to make big positive impacts on the revenue organization. You’ll have the chance to own the data science technology of one or more critical initiatives core business domains, from collaborating with stakeholders, through the full model development lifecycle. This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. What you will be doing: Provide subject matter expertise and ownership of one or more foundational models involving measurement, forecasting, or optimization of our content Establish and lead best practices, setting the example for the team Initiate and drive collaboration with stakeholders, architects, and data engineers to discover, define, cleanse, and refine the data needed for analysis and modeling Analyze large and novel datasets to extract actionable insights to inform model development and understand consumer behavior Provide customized views of large and complex datasets to support data analysis and business decision-making Inform experimental design to formulate solutions addressing major business challenges and innovation opportunities Build models using a variety of statistical and machine learning techniques, from selecting the best type of model for the problem to using advanced techniques to measure and optimize model performance Harden data pipelines and models for production deployment and monitoring of performance over time as required Become an expert of the Ibotta Data Ecosystem and how various teams leverage Ibotta’s suite of data to answer domain specific business questions through advanced analytic techniques Provide mentoring and education to this team and other teams across the company Embrace and uphold Ibotta’s Core Values of Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere What we are looking for: 7+ years of experience making significant positive impacts in a professional data science or machine learning role Bachelor’s degree in Computer Science, Engineering, Analytics or a related field required A history of and passion for driving important decisions using data and data storytelling A love of learning and continuous development, including staying at the forefront of the latest advances in data science and machine learning. Broad-scale community contributions to the fields of data science and machine learning in the way of conference presentations, professional publications, and/or recognized internet presence are a strong plus Expert-level knowledge, skills, and abilities in creating, developing, and applying a variety of new or existing machine learning and statistical algorithms Expert-level Python knowledge, skills, and abilities. Spark/PySpark and MLOps experience is a strong plus Excellent statistical analysis skills, with a solid understanding of experimental design About Ibotta ("I bought a...") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $1.8 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com . Additional Details: This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks, and occasional meals. Base compensation range: $152,000 - $175,000. Total compensation for this role also includes a variable component in addition to base salary. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. Applicants must be currently authorized to work in the United States on a full-time basis. Applicants are accepted until the position is filled. For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. #LI-Hybrid #BI-Hybrid

At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry. Job Description: Unlocking Value and Governing Cotality's Data Assets The Property Data Steward is the Data Fluency Leader and Value Enabler for Cotality's core property data assets (Tax Assessor, Appraisal, Transactions, and Derived Data). This is a strategic, high-impact role responsible for moving Data Stewardship beyond basic curation into AI Enablement and Enterprise Confidence. As a dual role, you are the highest-level expert in data fluency across the property domain and the data supply chain. You act as the primary Business/Technology Liaison , responsible for ensuring all products, models, and decisions built on Cotality’s data have a strong foundation of data that is fit-for-use and has consistent interpretation. Your core mandate is to fundamentally unlock the strategic use of our data assets for the business by enforcing governance principles and enabling effective data consumption. You will champion the "why" behind governance, providing the essential scaffolding and framing the organization relies on, ensuring that data is Findable, Usable, Well Understood, and Trustworthy. Your success will be measured by delivering AI-Ready Data and championing AI-Enabled Data Stewardship. Key Responsibilities Data Governance Interpretation and Advocacy Standard Advocacy & Policy Enablement: Support the creation and maintenance of the Data Stewardship Standard Handbook , which rolls up to the overall Data Governance Policy. Your focus will be on operationalizing the spirit of the rule to accelerate business value, not on process constraints. Data Classification and Metadata Stewardship: Responsible for Metadata management and Classification of all core data fields in the property domains. You will champion and contribute to this process to ensure data assets are Findable, Usable, Understandable, and Trustworthy in alignment with Cotality's enterprise goals. Compliance and Permissible Use: Partner with data governance, data sourcing, and compliance to ensure appropriate permissible use standards are tagged and enforced. Center of Excellence ( CoE ) Leadership: Drive the adoption of stewardship principles through the CoE , acting as the subject matter expert to democratize governance functions across non-FTE roles in Product, Operations, and Data Science. Data Asset Strategy & Ontological Enablement (The Data Asset Enabler) Strategic Data Asset Readiness & Fit-for-Use: Champion the fitness-for-purpose of data assets for all business use cases, from critical production products to future exploratory needs. This includes: Partnering with Data Quality and Engineering teams to define and continually refine quality metrics and scorecards based on domain knowledge. Proactively driving action plans for data improvement based on quality scores, assessing urgency (e.g., KBE status), and recommending whether to adjust governance rules or the data itself. Strategically cataloging and classifying all data (including unused or exploratory data) based on its current and potential use in Cotality's products (e.g., Critical, Informative, Exploratory) to accelerate time-to-value. Data Feasibility and Product Advisory: Conduct in-depth analysis and research to advise Product, Data Science, and Engineering teams on the Fitness-for-Use of data assets. Specifically, you will recommend fields based on quality, fill rate, lineage, and other metadata to support critical use cases. Define and Govern Ontology (The Keeper of the Dictionary): Partner with key stakeholders to define the unifying language and global ontology for core property data concepts to ensure consistent semantic interpretation across all business units, data supply chains and consuming systems. You will act as the ontological arbiter. AI Readiness and Semantic Interpretation: Collaborate with key stakeholders to design the Clarification Layer within the semantic framework. This layer enables CoreAI and ML models to intelligently interrogate and interpret diverse data definitions, ensuring data is AI-Ready. AI & Technology Enablement Operational AI Advocacy: Identify and advise on opportunities where AI and ML operations can be leveraged to enhance the internal data supply chain, improve data quality monitoring, and increase governance efficiency. Governance Platform Super User: Act as the primary feedback loop for the Data Governance Tool (e.g., Collibra). Define and mandate feature requirements to eliminate manual cataloging and curation tasks. Embedding Governance: Partner with Data Engineering and Technical Stewards to embed governance into the "native run of show" (e.g., championing Requirements as Code) to ensure automated data profiling, lineage capture, and cataloging of data assets in alignment with Enterprise Data Stewardship standards. Job Qualifications: Business Acumen & Domain Mastery: Intimate knowledge of property data domains (Assessor, Appraisal, Transactions) and the specific business use cases within the financial, insurance, or real estate sectors. 5-7 years of relevant experience. Data Governance & Analytical Practice: Proven experience in supporting data governance standards, policies, and operating models. Proficiency with Enterprise Data Governance platforms (e.g., Collibra) and metadata management. Critical Thinking & Negotiation: Exceptional communication, presentation, and negotiation skills. Ability to critically think about a problem and provide solutions that meet stakeholders' needs. Must act as an effective Arbiter and Liaison between technical teams, business leaders, and compliance stakeholders. Systemic thinking and the ability to translate technical output into clear business impact are essential. Bachelor's Degree preferred or equivalent work experience Additional Skills Preferred AI Aptitude and Technical Literacy: Demonstrated hands-on experience as a core user of AI tools (e.g., LLMs, generative AI, advanced analytics) for personal productivity and process optimization. Strong understanding of AI/ML basics. Data Ontology and Taxonomy: Background in developing and implementing data ontologies for use in semantic layers. #LI-Remote Annual Pay Range: 90,000 - 120,000 USD Application Window: This opportunity is expected to remain posted through the date identified below, subject to business needs. 2026-02-19 Thrive with Cotality At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life. Highlights include: Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off. Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend. Health: Multiple medical plan options with mental health and wellness support offerings. Retirement: 401(k) with company match and vesting after one year. Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250. Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more! Click here to see a comprehensive list of our benefit offerings. Please note, Qualifications, locations and experience of the individual ultimately selected for the position may impact the final actual offered compensation, which may vary from the posted range Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality maintains a Drug-Free Workplace. ​ ​ ​ Cotality is fully committed to a work environment that embraces everyone’s unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. ​ We are better together when we support and recognize our differences. ​ Global Applicant Privacy Policy By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide. Connect with us on social media! Click on the quicklinks below to find out more about our company and associates

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Director, R&D Data Science, Data Products – Oncology. This position has a primary location of Titusville, NJ but is also open to Spring House, PA or Cambridge, MA . The position will require up to 25% travel. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Position Summary The Director, Data Products – Oncology is responsible for leading the strategy, design, and delivery of user-centric, reusable data products that enable advanced analytics, data science, and AI/ML solutions across the Oncology Therapeutic Area (TA). This role ensures that high-value internal and external Oncology data assets—including preclinical, translational, clinical, competitive intelligence, and real-world data (RWD/RWE)—are standardized, productized, and integrated into Janssen’s enterprise R&D data ecosystem. Working closely with Data Science teams, Oncology TA scientific leaders, and the broader Data Strategy & Products organization, this leader ensures that Oncology data products fill business requirements, such as being AI ready, semantically consistent, and interoperable, enabling faster discovery, stronger evidence generation, and better regulatory outcomes. Key Responsibilities Data Product Strategy & Execution Lead a team to develop technical requirements for Oncology-facing data products. Define and maintain a roadmap for Oncology data products, spanning discovery, translational research, clinical development, and real-world evidence. Develop data products through , agile delivery, and FAIR data principles to ensure products are scalable, interoperable, and reusable across Janssen and partner functions. Deliverintegration of internal and external Oncology data sources (e.g., clinical trial data, genomics/omics, competitor intelligence, registry and RWE datasets). Ontology & Semantic Modeling Contribute to the development and governance of an Oncology Ontology to enable semantic consistency across discovery, clinical, regulatory, and real-world data. Align Oncology Ontology with enterprise metadata standards and external frameworks (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus). Collaboration & Integration Partner with Knowledge Management, Data Product Architecture & Governance, and Master Data Management teams to ensure Oncology data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogs. Collaborate with Oncology Data Science , clinical, translational, and commercial Oncology stakeholders to co-create solutions that maximize the value of Oncology data assets. Interface with regulatory and compliance teams to ensure Oncology data products meet global standards. Team & Operating Model Leadership Lead a cross-functional team of product owners, data engineers, and Oncology datadomain expertsaimed at delivering data products to Oncology. Establish and implement governance models, agile delivery processes, and value-tracking metrics for Oncology data products. Value Realization & Communication Define and track KPIs to measure the impact of Oncology data products on scientific insights, trial efficiency, and regulatory outcomes. Communicate vision, roadmap, and value realization to Oncology leadership, data science teams, and executive stakeholders. Champion data literacy and adoption within the Oncology TA. Strategic Impact The Director, Data Strategy & Products – Oncology TA is responsible to ensure Oncology data is transformed into trusted, AI-ready products that accelerate discovery, improve trial design and execution, and strengthen regulatory readiness. By embedding semantic rigor and aligning with enterprise data strategy, this role positions Oncology data as a strategic asset that drives scientific innovation and patient impact across Janssen R&D. Qualifications Education PhD or Master’s in informatics, computer science, life sciencesor related discipline. Skills & Expertise 8+ years of experience in pharma/biotech R&D with a focus on data product development and delivery, or data science. A focus on Oncology is a plus. Strong track record in data product development, data integration, or semantic modeling within a TA or domain-specific context. Experience working with multi-modal Oncology data, including omics, imaging, translational, clinical trial, and RWE data. Deep knowledge of data products, database design, data transformation/mapping. Oncology research, clinical trial design, and regulatory data requirementsis a plus. Familiarity with metadata management, ontologies, knowledge graphs, and industry data standards (e.g., CDISC, GA4GH). Strong leadership, collaboration, and communication skills, with ability to translate technical strategy into business/science value. Demonstrated ability to influence stakeholders and drive adoption of new data capabilities across a complex organization. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. #LI-Hybrid #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Data Product Management, Multimodal, Ontology, Product Development, Semantic Modeling Preferred Skills: Clinical Trial Designs, Oncology, Real World Evidence (RWE) The anticipated base pay range for this position is : The anticipated base pay range for this position is $160,000 to $276,000 USD. Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave – 10 days Volunteer Leave – 4 days Military Spouse Time-Off – 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries. In this role, the Associate will support the U.S. Banks Data Quality Program by driving compliance with the Firm’s Data Quality Policy and procedures, with a focus on BCBS 239 requirements across Risk and Finance. The Associate role is in the U.S. Banks First Line Business Risk team. This team is responsible for managing risks associated with Data Quality. This role requires regular interaction with other divisions across firm, technology, Bank Business partners, Bank Data Stakeholders, Compliance, Second Line Risk and Internal Audit. Primary Responsibilities Include: Ensure compliance with the Global Data Quality Policy and BCBS 239 standards for prioritized data domains across U.S. Banks. Partner with the Firm Data Office, Divisional Data Offices, and Technology teams to: Conduct data flow analysis. Assess and monitor data quality controls. Identify data owners and catalog metadata in Collibra. Manage annual re-attestation processes. Define solutions including dashboards, automated communications, and data quality management processes. Partner with project and technology teams to enhance controls and optimize data processes. Develop and maintain dashboards and performance metrics for periodic reporting to management committees and senior leadership. Maintain procedural documentation, including desktop procedures, to support consistent execution. Partner with technology teams to ensure data sourcing from authoritative systems to improve data quality. Communicate project progress, risks, and issues to stakeholders with clarity and consistency. Qualifications Bachelor’s degree in Business, Finance, or a related field. Minimum 2 - 3 years of professional experience, ideally within the financial services industry, with demonstrated expertise in data management, governance, quality, lineage, and issue remediation. Advanced proficiency in Microsoft Excel, PowerPoint, Outlook, Word, Visio and other MS Office Tools. Proven ability to collaborate across functions and manage multiple priorities in a fast-paced, Agile environment. Strong Attention to detail and the ability to handle, prioritize multiple tasks and projects concurrently. Highly motivated / self-starter with a sense of accountability & ownership, willingness to learn, and ability to work independently. Excellent written and verbal communication skills. Experience performing business analysis, writing business requirement document, and creating mock dashboards. The ability to work effectively within a local and global team, as well as independently. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser. Expected base pay rates for the role will be between $58,000 and $115,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

The main goal of the DE team in 2024-25 is to build robust golden data sets to power our business goals of creating more insights based products. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. Data Engineers heavily leverage SQL and Python to build data workflows. We use tools like DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. Our engineering culture is IC-driven -- we favor bottom-up ideation and empowerment of our incredibly talented team. We are looking for engineers who are motivated by creating impact for our consumers and customers, growing together as a team, shipping the MVP, and leaving things better than we found them. You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to carve out the ownership and scope of internal datasets and visualizations across Plaid which is a currently unowned area that we intend to take over and build SLAs on. You will have the opportunity to learn best practices and up-level your technical skills from our strong DE team and from the broader Data Platform team. You will collaborate with and have strong and cross functional partnerships with literally all teams at Plaid from Engineering to Product to Marketing/Finance etc. Responsibilities Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles. Have data quality and performance top of mind while designing datasets Advocating for adopting industry tools and practices at the right time Owning core SQL and Python data pipelines that power our data lake and data warehouse Well-documented data with defined dataset quality, uptime, and usefulness. Qualifications 2+ years of dedicated data engineering experience, solving complex data pipeline issues at scale. You have experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes) You value SQL as a flexible and extensible tool and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow. [Nice to have] You have experience working with different performant warehouses and data lakes; Redshift, Snowflake, Databricks [Nice to have] You have experience building and maintaining batch and real-time pipelines using technologies like Spark, Kafka. The target base salary for this position ranges from $163,200/year to $223,200/year in Zone 1. The target base salary will vary based on the job's location. Our geographic zones are as follows: Zone 1 - New York City and San Francisco Bay Area Zone 2 - Los Angeles, Seattle, Washington D.C. Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego Zone 4 - Raleigh-Durham and all other US cities Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

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

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 opportunit ies 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 v eteran 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

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

Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Engineering team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family. About the role Oscar is in a unique position to drive impact through high engagement with members and a variety of high-tech touchpoints (such as virtual care or superagent).The Senior Data Scientist develops personalized multi-channel marketing campaigns to influence behaviors that Oscar members take that are key to their health. You will ideate, scope business cases, design targeted pipelines by using predictive models, launch campaigns, monitor and optimize campaigns in real time to attribute best performing marketing variants, and measure campaigns. This will involve research, pipeline/ML model development, optimization techniques such (e.g. MAB), and measurement techniques (traditional statistical and casual machine learning). You work cross functionally with marketing and clinical teams, dedicated to a specific goal of lowering medical cost. You will have accountability for the success of each campaign. You will report to the Senior Director, Data Science. Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week OR remote, if you're located in Boston or the San Francisco Bay Area. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $158.400 - $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities Works with team and manager to impact longer term strategies and roadmap Sets shorter term roadmap for team Interacts and collaborates closely with data and business counterparts across functional areas Researches, develops, and maintains data pipelines, statistical/ML models, and/or advanced analyses Compliance with all applicable laws and regulations Other duties as assigned Qualifications 4+ years of industry or other quantitative technical fields (which may include academia). 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points Advanced degree in a quantitative or technical field Experience in the healthcare, finance and/or insurance industries Travel Up to 5% This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

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.