Associate Director, Commercial AI Product Owner

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.

Summary:

As Associate Director, Commercial AI Product Owner, you will be responsible for leading the transformation of advanced analytics into durable, scalable, and AI-powered solutions that directly accelerate commercial decision-making across the enterprise.

You will collaborate across global teams—including BI&T, Data Science, and the engineering/analytics group—to deliver high-quality, production-grade analytics platforms, tools, and automation that embed actionable intelligence into everyday workflows for Marketing, Field, and Market Access stakeholders. This role enables the shift from project-based analytics to platform-enabled, always-on decision intelligence.

You will operate within a hub-and-spoke model, setting standards, governance, and reusable components that empower therapeutic area-aligned teams while driving enterprise-wide consistency, speed, and reliability. You’ll be a technical and strategic leader, guiding cross-functional pods, productizing analytical models, and driving innovation within agentic AI platforms to support forward-looking, actionable brand and omnichannel insights.

 

Responsibilities:

Tools, Automation, & AI Products

• Product Ownership: Serve as dedicated product owner for the Agentic MMx (Marketing Mix) Platform - own its strategy, vision, roadmap, and stakeholder alignment in partnership with BI&T and Data Science. Drive the ongoing evolution of this self-service analytics hub to deliver advanced capabilities, including KDA, scenario simulation, investment planning, constrained optimization, and real-time decision support.
• Pod Leadership: Lead the Tools & Automated Solutions cross functional team across BI&T, Data Science, TA Analytics, and analytics/engineering to architect, launch, and maintain scalable analytics solutions—covering dashboards, always-on insights, scenario simulators, measurement pipelines, and democratized KDA platforms.
• Collaboration: Partner with BI&T, Data Science, TA Analytics, and engineering to deliver analytics-ready datasets, feature stores, semantic layers, and automated data pipelines, standardizing and accelerating insight generation.
• Efficiency and Innovation: Champion automation, templated workflows, and platformization to reduce manual effort and external vendor reliance, maximizing reuse and operational efficiency. Continuously identify opportunities for tool innovation and scalable enablement of best practice measurement solutions.
• Integrate decision science outputs into annual planning, CRM (e.g., Veeva), and omnichannel orchestration workflows via APIs and embedded dashboards to ensure sustained adoption and business impact.
• Develop monitoring and governance dashboards for real-time oversight of model/data health, user adoption, SLAs, drift/stability, and auditability.

 

Agentic & AI Capability Development

• Architect and deploy autonomous and semi-autonomous analytics agents using multi-agent frameworks, enabling progression from descriptive analytics to causal analysis, root-cause insights, and predictive recommendations.
• Own the AI product lifecycle: manage proof-of-concept, pilot, rollout, and continuous optimization; establish robust governance covering safety, security, ethical standards, and privacy compliance.

Cross-Functional Team Management & Enablement

• Lead cross-functional pods (BI&T engineers, analytics/data engineers, platform SMEs), managing product roadmaps, agile backlogs, and release cycles.
• Codify and promote engineering standards for deployment, MLOps, CI/CD, QA/testing, SLAs/SLOs, and RACI matrices for reliability and quality.
• Standardize and scale processes, maximize component reuse, minimize vendor dependence, and ensure governance and privacy compliance.
• Coach and enable enterprise and TA-aligned analytics teams, driving best practice adoption, technical enablement, and a culture of consistent delivery and innovation.
• Promote agile ways of working using collaboration platforms (e.g., Jira) for rapid development and communication.

Advance Governance, Compliance & Trust

• Partner with Data Governance, Legal, and Privacy teams to define and enforce data/AI governance: SLAs, RACI, privacy-by-design, and responsible/ethical AI controls.
• Ensure AI tools and solutions are explainable, auditable, and compliant; continuously monitor for bias, document decisions, and incorporate human-in-the-loop mechanisms where required.
• Lead structured change management and feedback loops to drive sustained tool adoption and measurable business outcomes.

Qualifications:

• Advanced degree (MS/PhD preferred) in Data Science, Statistics, Computer Science, Econometrics, or related quantitative field.
• Minimum 5 years of hands-on experience in pharma commercial analytics or decision science.
• Proficiency with causal inference and incrementality tools (geo-experiments, matched markets, synthetic controls, uplift modeling). Expertise in Bayesian/hierarchical MMx, adstock/distributed lag, saturation/response curve modeling, and operationalizing these methodologies in automated pipelines and platforms.
• Proven experience launching and scaling agentic AI solutions (multi-agent systems, LLMs, RAG, semantic layers, real-time architectures).
• Deep proficiency in enabling agent collaboration, negotiation, and task orchestration, including coordination of agent roles/functions within a commercial analytics or decision science context.
• Proven experience operationalizing LLMs for commercial use cases—knowledge retrieval, summarization, generative analytics, automation of insight generation,
• Experience embedding AI analytics platforms into commercial workflows with enterprise-wide adoption.
• Extensive knowledge of pharmaceutical data (claims, APLD, specialty pharmacy, digital signals, promotional data).
• Strong foundation in AI governance (risk management, security, privacy, model monitoring, human-in-the-loop) in regulated environments.
• Experience with cloud analytics platforms (Databricks, Snowflake, Spark), MLOps, and BI tools; understanding of HIPAA, GDPR/CCPA and regulatory standards.
• Mastery of programming and data science tools (Python, R), machine learning frameworks (scikit-learn, PyTorch), large-scale analytics environments, visualization platforms, and workflow automation.
• Familiarity with CRM (e.g., Veeva), omnichannel metrics, multi-touch attribution (MTA), and AI-driven next-best-action frameworks.
• Outstanding stakeholder engagement and communication skills—capable of translating complex analytics concepts into actionable business strategies.

 

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.

Compensation Overview:

Princeton - NJ - US: $167,540 - $203,013 


The starting pay range(s) listed above is for full-time employees (FTE). You may also be eligible for additional discretionary incentive cash and stock opportunities. We determine starting pay thoughtfully – carefully considering the nature of the role, required skills, work location, schedule and the knowledge and experience you bring. Final compensation is guided by pay equity principles and applicable employment laws. Compensation programs are reviewed on an ongoing basis and may be adjusted over time to reflect evolving market factors, and individual, team or Company performance.

Benefits:

Subject to the terms and conditions of the applicable plans then in effect, you may be eligible to participate in our comprehensive benefit plans – including wellbeing support, retirement and financial protection benefits, and insurance offerings (medical, dental, vision, life and disability).

U.S.-based exempt employees are eligible for Flexible Time Off (FTO), which provides paid time off without a set accrual limit, subject to manager approval, along with 11 paid company holidays each year.

Non-exempt employees, RayzeBio employees, and employees located in Puerto Rico receive 160 hours of paid vacation annually for new hires (subject to manager approval), 11 paid company holidays, and 3 optional holidays.

Depending on eligibility, employees may also have access to additional time-off benefits, including 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 also enjoy an annual Global Shutdown between Christmas Day and New Year's Day.

U.S.-based job seekers can explore full benefit offerings at https://careers.bms.com/benefits

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 adastaffingsupport@bms.com. 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/

For roles based in Washington state only: If you live in or expect to work from Washington State if hired for this position, please visit this page for important information about the Washington Fair Chance Act.

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.

If this posting is missing required information required by local law or incorrect, contact BMS at TAEnablement@bms.comwith the Job Title and Requisition number. Do not send application-related inquiries to this email. To check your application status, please login to your Candidate Home Account.

R1607860 : Associate Director, Commercial AI Product Owner