Associate Vice President, Agentic AI & Autonomous CMC Development

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.

At Eli Lilly and Company, we unite caring with discovery to make life better for people around the world. Lilly has led global healthcare for more than 140 years, and today we’re growing faster than ever, expanding our portfolio, modalities and manufacturing footprint. To keep delivering medicines faster, with greater quality and efficiency, we’re investing in the next generation of digital and AI capability that will change how we research, develop and make decisions.

We’re looking for a visionary executive to lead the next paradigm shift in pharmaceutical development: agentic AI. This is the shift from human-executed workflows supported by software to autonomous, AI-enabled development ecosystems, where scientists and engineers spend their time on creativity, judgment and strategy while intelligent agents handle routine knowledge work, analysis, documentation, planning and execution. This Associate Vice President will define and execute Lilly’s vision for Agentic CMC Development: building a pan-DDCS/PRD AI capability platform and deploying agentic solutions that transform how development work gets done across drug delivery, devices, combination products, synthetic molecule development, biologics, formulation sciences, process development, analytical sciences, quality, regulatory and the manufacturing interface.

The long-term goal is an Autonomous Development Platform: one that continuously learns from enterprise knowledge, experimental outcomes, development history, manufacturing performance, regulatory interactions and scientific literature, and increasingly executes development work on its own. This platform will enable:
Agent-driven knowledge discovery and technical intelligence, Autonomous technical workflow orchestration, AI-generated development strategies and experiment plans, Automated documentation and regulatory content generation, AI-assisted design, optimization, change control planning and risk assessment, Digital experts and copilots embedded across development functions, Enterprise-scale scientific knowledge management, Agentic coordination between development, manufacturing, quality and regulatory functions.