Manager, PDS Data Domain

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

Position Summary

Bristol Myers Squibb is seeking a Manager to support the design, delivery and adoption of data products within PDS. This role connects business needs with modern data platforms, including enterprise data lakes and Databricks, to deliver governed, reusable and fit-for-purpose data products. The Manager works closely with business subject matter experts, data stewards, data engineers and technology teams to define requirements, improve data quality, coordinate delivery and help users apply data in operational decisions. The Manager owns assigned workstreams and deliverables, with strategic direction and prioritization provided by the Senior Manager or Data Domain Lead.

Key Responsibilities - Data Platform and Product Execution

·       Support end-to-end delivery of data products and analytics for an assigned PDS domain or use case, from discovery and requirements through testing, release and adoption.

·       Work with data engineering teams to use enterprise data lake and Databricks capabilities for data ingestion, transformation, curation and consumption.

·       Gather and document business requirements, data definitions, user stories, acceptance criteria, source-to-target needs and process impacts.

·       Help define reusable data products with clear consumers, business value, ownership, service expectations and measurable success criteria.

·       Coordinate working sessions with business experts, data stewards, data engineers and technology teams.

·       Track actions, risks, dependencies, decisions and delivery milestones; escalate issues promptly.

Business Analysis and Adoption

·       Analyze operational pain points and translate them into prioritized data-product backlog items.

·       Prepare demonstrations, user guidance, training materials and adoption communications.

·       Collect user feedback and product measures to support continuous improvement.

·       Help users discover available data, understand product definitions and apply data consistently in business decisions.

Data Quality and Governance

·       Work with data owners and stewards to document critical data elements, definitions, ownership, data-quality rules and acceptance thresholds.

·       Support metadata, lineage, access, privacy and data-quality controls required for governed and fit-for-purpose data products.

·       Investigate data issues with business and technical teams; document root cause, resolution and prevention actions.

·       Promote consistent governance practices across data lake, Databricks and downstream data-product delivery.

Collaboration and Ways of Working

·       Collaborate with process owners, product managers, analytics teams, data engineers, data scientists and Information Technology partners.

·       Use agile ways of working to plan, refine, test and release product increments.

·       Contribute to a practical, inclusive and data-driven culture within PDS.

Qualifications & Experience

Required

·       Bachelor's or master's degree in engineering, life sciences, data science, information systems or a related field.

·       5 to 7+ years of relevant experience in operations, manufacturing, supply chain, quality, data, analytics or digital delivery; regulated-industry experience is preferred.

·       2+ years of experience in business analysis, product delivery, data engineering, data platforms, analytics or a comparable role.

·       Practical experience working with enterprise data lakes, including data ingestion, transformation, curation and consumption patterns.

·       Hands-on or delivery experience with Databricks, including SQL, notebooks, workflows or jobs; familiarity with governed catalogs and layered data architecture is expected.

·       Experience defining or delivering data products, including requirements, ownership, quality expectations, user acceptance and adoption measures.

·       Experience documenting requirements, coordinating cross-functional work and supporting testing, training or adoption.

·       Ability to translate business questions into clear data needs, user stories and acceptance criteria.

·       Working knowledge of SQL and modern data-platform concepts; exposure to Python, visualization or data-quality tools is helpful.

·       Clear communication, organization, collaboration and problem-solving skills.

Nice to Have

·       Experience with SAP master data, including business-partner, material, vendor, customer or other relevant master-data domains.

·       Experience with data-quality profiling, rule definition, monitoring, issue management and root-cause analysis.

·       Experience with data-governance practices such as stewardship, ownership, metadata, lineage, access controls and critical-data-element management.

·       Knowledge of operational systems such as SAP, Veeva, laboratory information management systems or supply-chain planning platforms.

·       Familiarity with good practice requirements and regulated data controls for applicable domains.

What Sets This Role Apart

·       Platform-to-value impact: Connects enterprise data lake and Databricks capabilities to practical PDS outcomes.

·       Data-product mindset: Builds reusable, governed data assets around clear users, value and adoption.

·       End-to-end exposure: Contributes from discovery and data-quality definition through testing, launch and adoption.

·       Collaborative role: Connects business, governance and technology teams around shared outcomes.

·       Growth pathway: Builds the experience needed to lead larger data domains and product portfolios over time.

We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.

How We Work

Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working.

Supporting People with Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to [email protected]. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

For roles based in Los Angeles County only:  If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

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