Associate Director- AI Solutions & Delivery Leader Lilly Medicine Foundry

Lilly • Indianapolis, IN

2d

About The Position

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.
About The Lilly Medicine Foundry:
Lilly recently announced a $4.5 billion investment to create the Lilly Medicine Foundry, a new center for advanced manufacturing and drug development. The first-ever facility of its kind, combining research and manufacturing in a single location, the Medicine Foundry will allow Lilly to further develop innovative solutions to optimize manufacturing processes and increase capacity for clinical trial medicines, while also reducing costs and environmental impact.
Organization and Position Overview:
The AI Solutions & Delivery Leader is responsible for rapidly translating AI demand from Foundry business users into deployed, production-grade solutions. This role owns the end-to-end lifecycle from use case intake and prioritization through solution design, development, validation, and operational handoff. The leader also owns the Foundry's Agentic AI strategy, partnering with the Win Big with Data team to develop and execute a roadmap for autonomous AI agents that augment decision-making across manufacturing, quality, and operations.
This role reports to the Sr. Director Digital Innovation within the PR&D organization. As an execution-focused leader, this role takes innovation concepts surfaced by the Augmented Intelligence Leader and transforms them into operational solutions, while independently managing the Agentic AI strategic agenda and a portfolio of AI-driven tools (Claude for Foundry, domain-specific copilots, dashboards) serving the Foundry workforce.

Requirements

• Bachelor's degree in Computer Science, Data Science, AI, Engineering, or related technical discipline with 8 years relevant experience OR Master's degree with 5 years experience OR Ph.D. with 3 years experience.
• Minimum of 5 years of progressive experience in AI/ML solution delivery, data science, or digital product management with a demonstrated track record of deploying AI solutions in complex environments.
• Minimum of 5 years in pharmaceutical, biotechnology, or FDA-regulated industries with understanding of cGMP manufacturing and quality operations.
• Proven ability to translate ambiguous business problems into scoped, delivered AI solutions with measurable outcomes.
• Strong knowledge of agentic AI architectures, LLMs, generative AI, and modern AI/ML deployment patterns with hands-on technical depth.
• Demonstrated ability to manage competing priorities, deliver under time pressure, and communicate progress and trade-offs to technical and non-technical stakeholders.

Nice To Haves

• Experience building and scaling AI/ML products in pharmaceutical manufacturing or quality environments.
• Hands-on experience with LLM deployment, AI agent frameworks, retrieval-augmented generation, and responsible AI governance in regulated settings.
• Experience managing AI solution portfolios with formal intake, prioritization, and delivery tracking processes.
• Track record of partnering with enterprise data and IT organizations to deploy AI solutions that meet security, compliance, and scalability requirements.
• Entrepreneurial mindset with ability to move fast, iterate, and deliver value in ambiguous, fast-paced greenfield environments.

Responsibilities

• Own the AI demand intake process: receive, evaluate, prioritize, and sequence AI solution requests from Foundry business users based on feasibility, impact, and strategic alignment.
• Rapidly iterate on AI solutions, moving from concept to minimum viable product to scaled deployment with short cycle times and continuous user feedback.
• Lead the Foundry's Agentic AI strategy in partnership with the Win Big with Data team, defining the vision, architecture, governance, and implementation roadmap for autonomous AI agents across Foundry operations.
• Own deployment and continuous improvement of Claude for Foundry, ensuring the AI assistant delivers measurable productivity and knowledge access gains.
• Build and manage domain-specific AI copilots for quality, operations, and engineering functions, ensuring solutions meet cGMP compliance and operational requirements.
• Design and deliver real-time dashboards and operational intelligence tools that provide actionable KPI visualization to Foundry leadership and operations teams.
• Establish solution delivery frameworks including intake templates, prioritization rubrics, development sprints, user acceptance testing, and post-deployment performance tracking.
• Partner with Tech@Lilly to ensure AI solutions integrate properly with enterprise infrastructure, data platforms, and security requirements.
• Build, mentor, and lead a high-performing team focused on AI solution development, delivery, and continuous optimization.
• Develop business cases and ROI analyses for AI solutions, tracking delivered value against investment to demonstrate impact to leadership.

Benefits

• Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees