Associate Director, Commercial AI Product Owner

Bristol Myers Squibb • Princeton, NJ

2d

About The Position

The Associate Director, Commercial AI Product Owner will lead the transformation of commercial business processes and knowledge into forms that enterprise AI can understand and use. The role owns unstructured content and its relationships in the knowledge and context layer, helping AI deliver more grounded, accurate, and context-aware commercial decision support. In collaboration with brand, IT, and commercial analytics teams, the role advances AI from descriptive analysis toward diagnostic, predictive, and prescriptive capabilities using context engineering and machine-learning-driven solutions.

The position translates the Commercial AI, Analytics & Insights product team's vision and roadmap into business and technical requirements, actionable tasks, milestones, and outcomes. It develops and maintains knowledge assets and their relationships, works with brand teams and product pods to improve the context layer, and supports machine-learning operations and AI performance evaluation. The role also defines user acceptance testing and performance measures, collaborates with offshore operations, and supports responsible AI governance in partnership with Data Governance, Legal, and Privacy.

Expected outcomes include releases that meet business acceptance criteria and fit brand workflows; reusable context-layer capabilities used across brands and AI products; measurable context-layer usage and quality; a prioritized context-engineering backlog aligned to the product roadmap; a discoverable, well-documented ML model catalog; and measurable, release-over-release improvements in AI output quality.

Requirements

• Advanced degree in Computer Science, Software Engineering, Information Science, Artificial Intelligence, Data Science, Life Sciences, or a related quantitative or business field; MS or PhD preferred.
• At least 5 years of hands-on experience in pharmaceutical commercial analytics/decision science or software development.
• At least 2 years building or supporting an analytics or AI product or platform.
• Hands-on experience with graph databases, such as Neo4j and Amazon Neptune.
• Hands-on experience designing and maintaining enterprise knowledge graphs, semantic models, ontologies, taxonomies, business vocabulary, and metadata services.
• Hands-on experience with AI product development topics such as LLMs, RAG, semantic and context layers, prompt or agent configuration, and sub-agent orchestration.
• Experience developing end-to-end ML and simulation-type advanced analytics algorithms, such as tree-based models and marketing mix modeling (MMM).
• Experience designing and operating AI output evaluation frameworks, including golden Q&A sets with held-out test data, metric-based scoring, LLM-as-judge methods, and regression testing across releases.
• Strong foundation in AI governance, including risk management, security, privacy, model monitoring, and human-in-the-loop practices in regulated environments; understanding of HIPAA, GDPR/CCPA, and related regulatory standards.
• Ability to translate unstructured business and domain knowledge, such as documents, playbooks, brand content, and expert know-how, into reusable semantic models that AI can use for grounding.
• Ability to partner effectively with cross-functional teams.
• Strong stakeholder management and communication skills, including the ability to lead without direct authority.

Nice To Haves

• Knowledge of pharmaceutical data, including claims, APLD, specialty pharmacy, digital signals, and promotional data.
• Familiarity with commercial tools and methods such as Veeva, omnichannel metrics, multi-touch attribution, and next-best-action frameworks.
• UX research or design experience for analytics or digital products.
• Experience working with offshore or vendor teams and agile tools such as Jira.

Responsibilities

• Translate the Commercial AI, Analytics & Insights product team's vision and roadmap into business and technical requirements, actionable tasks, milestones, and clear outcomes.
• Translate business knowledge into the context layer by generating and connecting unstructured content as knowledge assets, building relationships using a graph database, and managing knowledge assets throughout their lifecycle.
• Ensure AI product skills have appropriate guidance for connecting to the knowledge graph and that the graph is used across key AI products and brands.
• Work with brand teams on initial knowledge-graph development, then collaborate with brand pods and the enablement team to improve the knowledge layer after deployment.
• Implement an appropriate ML framework in the AI product and work with IT to monitor ML performance and CAAI analytics leads to improve it.
• Design, build, and maintain a golden Q&A evaluation framework for continuous AI performance monitoring, using a held-out test set and defined metrics for structured and unstructured outputs.
• Define UAT scope and context test cases using the golden Q&A set and resolve context-layer defects.
• Track and report context-layer usage and quality signals as performance metrics.
• Collaborate with the Offshore Sr. Manager and AOI Ops to validate the knowledge and context layer and incorporate feedback from operations roles.
• Partner with Data Governance, Legal, and Privacy on privacy, explainability, and human-in-the-loop checks for knowledge and context content.
• Support the AI product team in maintaining governance forums and technical controls.

Benefits

• Comprehensive benefit plans, including wellbeing support, retirement and financial protection benefits, and medical, dental, vision, life, and disability insurance offerings.
• Flexible Time Off (FTO) without a set accrual limit for eligible U.S.-based exempt employees, subject to manager approval.
• Paid vacation for eligible non-exempt employees, RayzeBio employees, and employees located in Puerto Rico.
• 11 paid company holidays each year; eligible employees in specified categories may also receive 3 optional holidays.
• Depending on eligibility, paid sick leave, up to two paid volunteer days per year, summer-hours flexibility, and leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs.
• Eligible employees may participate in an annual Global Shutdown between Christmas Day and New Year's Day.
• Additional discretionary incentive cash and stock opportunities may be available.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior