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.