Associate Director, Commercial Data Product Owner
Bristol Myers SquibbAbout the role
Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.
Summary:
The Associate Director, Commercial Data Product Owner, supports the execution and operationalization of commercialization data products. This delivery- and coordination-focused role manages data domains data governance and facilitates collaboration between technical and business teams, and ensures data products are built, deployed, and adopted effectively.
The Associate Director will contribute to key offerings (e.g., Sales/Marketing, Market Access, Medical, Patient Customer 360, Payer 360, Incentive Comp) supporting data governance, modeling, domain design, catalog management, and data quality
Responsibilities:
Roadmap Execution & Product Delivery
- Translate the strategic roadmap into delivery plans, backlogs, and release schedules; track scope, dependencies, and timelines with IT.
- Facilitate planning, backlog refinement, retrospectives and support end-to-end delivery from requirements through deployment.
- Maintain product documentation, release notes, and versioning; ensure modeling artifacts and catalog entries are part of the definition of done.
Stakeholder Engagement
- Engage Brand, Sales, Medical, and Market Access stakeholders to capture requirements and translate business workflows into user stories, acceptance criteria, and technical specifications.
- Facilitate regular stakeholder touchpoints and collaborate with domain owners to validate data definitions, glossary terms, and domain boundaries.
Data Governance
- Support implementation and enforcement of data governance frameworks, ownership structures, and stewardship roles across commercial data domains.
- Track compliance metrics, identify gaps, and contribute to data quality rules, lineage documentation, and issue management workflows in alignment with BMS policies.
Data Modeling & Domain Design
- Support design and implementation of logical and physical data models.
- Contribute to commercial domain definitions and maintain version-controlled model documentation following governance review processes.
Data Catalog Management
- Support build-out and adoption of the enterprise data catalog ensuring datasets are catalogued with accurate metadata, lineage, and ownership.
- Monitor catalog completeness, close gaps, and enable automated metadata capture through pipeline and governance workflow integration.
Data Quality & Operational Excellence
- Monitor data quality dashboards; escalate completeness, latency, and accuracy issues to appropriate teams.
- Track operational KPIs (e.g., refresh SLAs, uptime) and support incident triage, root-cause analysis, and resolution.
Adoption, Vendor & Budget Support
- Develop enablement plans including training, user guides, and dashboards; track usage metrics and synthesize feedback to drive refinements.
- Support vendor management, SLA monitoring, budget tracking, and research of new technology and tooling options.
Qualifications:
- Bachelor’s degree in Information Systems, Data, Life Sciences, Business, or related field; advanced degree preferred.
- Minimum 5 years of experience in data products, data governance, MDM, analytics enablement, or commercial data within pharmaceutical or life sciences organizations.
- Experience with data governance princip
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