The Associate Director, Commercial AI Product Owner is 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 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.
Requirements
- 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
Benefits
- Health Coverage: Medical, pharmacy, dental, and vision care
- Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP)
- Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support
- Paid Time Off
- Flexible time off (unlimited, with manager approval, 11 paid national holidays)
- 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
- Unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day
