Manager, 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. Roles & Responsibilities Analytics Delivery, Tools & AI Products Product co-ownership: Serve as dedicated product co-owner for the Agentic MMx (Marketing Mix) and Always on Insights (AOI) Platform – partner on its strategy, vision, roadmap, and stakeholder alignment in collaboration with BI&T and Data Science. Drive the ongoing evolution of this self-service analytics hub to deliver advanced capabilities, including MMx, scenario simulation, investment planning, constrained optimization, and real-time decision support. Workflow integration: Partner with BI&T to 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. Monitoring & oversight: Support monitoring and governance dashboards for real-time oversight of model/data health, user adoption, SLAs, drift/stability, and auditability. 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 platform creation 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. Product KPIs & enablement: Define and track product KPIs—adoption, activation, retention, and model accuracy vs. business lift—and build training content, enablement, and adoption playbooks to drive sustained usage and value realization. Agentic & AI Capability Development Support the design and deployment of autonomous and semi-autonomous analytics agents using multi-agent frameworks, enabling progression from descriptive analytics to causal analysis, root-cause insights, and predictive recommendations. Contribute to the AI product lifecycle—proof-of-concept, pilot, rollout, and continuous optimization—while helping establish governance covering safety, security, ethical standards, and privacy compliance. Operationalize LLMs for commercial use cases such as knowledge retrieval, summarization, generative analytics, and automation of insight generation. Stakeholder Partnership & Strategic Support