Sr. Advisor - AI/ML Product Owner

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.  Organization Summary The CMC Portfolio Analytics & Insights (PAI) team is an integral part of CMC Project Management within Lilly Research Laboratories’ Product Research and Development organization. The CMC Project Management team is responsible for leading the design and execution of integrated CMC strategies from portfolio entry through global submissions and approvals. The PAI is a newly established, strategic team dedicated to leveraging data analytics to transform CMC project management. This team will transform CMC portfolio data into a strategic asset for decision-making—tracking PRD portfolio metrics, driving PM tool development, and setting data standards. As a key enabler for data-driven decision making, this team has significant opportunities to create substantial impact by providing actionable insights, optimizing portfolio performance, and supporting strategic initiatives across our CMC operations. Join us at this pivotal moment and play a key role in shaping the future of CMC project management.

Summary We are seeking a highly motivated and skilled AI/ML Product Owner to join our CMC Portfolio Analytics & Insights Team. As a Sr. Advisor - AI/ML Product Owner, you will lead the product strategy, roadmap, and delivery of innovative AI/ML-driven solutions that transform our pharmaceutical processes and accelerate drug discovery and development. You will bridge the gap between business needs and technical execution, ensuring the successful realization of high-impact AI/ML products.

Data Product Ownership Own the CMC Operational Data Product end-to-end — definitions, data contracts, quality standards, and lifecycle. Partner with the Data Foundation workstream to enforce naming and field standards, automate pipelines, and eliminate manual reconciliation across PRD. Define and track data-product health KPIs (freshness, completeness, lineage, adoption) and report on them. Make and document the governance decisions that keep the product trustworthy — which source becomes the authoritative record, which duplicate reports and trackers are retired, and how changes are communicated to users. AI/ML Architecture Design and build the AI interactive layer on top of the governed Data Hub and Power BI semantic model, engineering it so agent queries execute under the requesting user's authenticated identity. Build the AI accuracy/validation framework needed to move capability from today's “AI mindset” (data prep, summarization, pattern-spotting, always human-owned) to tomorrow's core capability (predictive risk models, early-warning signals, ask-the-portfolio). Prototype and iterate AI capability against real use cases already in flight, and report accuracy against validated outcomes. Hands-On Technical Build Independently architect and build core components — pipelines, semantic-model extensions, AI/agent interfaces — this is a working architect role, not a pure oversight role. Set technical standards, review practices, and reusable architecture patterns that the wider data engineering and analytics/visualization functions build against. Cross-Team Leadership, AI Storytelling & IT Partnership Turn technical AI and data work into compelling stories — translate pipelines, model behavior, and architecture decisions into narratives that make AI