Data & Platform Architect - Lilly Value & Access

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.

Come join Lilly where innovative technology meets purpose-driven medicine. This role sits at the center of our platform strategy, AI innovation, and the partnerships that shape how we run the full lifecycle of payer contracts, government pricing, and rebate programs for a growing portfolio of medicines.

We are seeking a Data & Platform Architect who brings the technical depth to shape the strategic direction and evolution of a complex cloud platform, along with the eye for business to align that platform with the strategy it enables across Lilly and with our primary partner, Integri Chain. This person will shape the platform roadmap, champion AI-driven automation, and translate the complexity of pharma payer contract management into scalable, intelligent solutions.

As Lilly purposefully expands its use of AI and automation to handle growing contract volumes across chargebacks, government pricing, Medicare, and utilization-based rebates, this role will be instrumental in defining where and how AI fits into the LVA operational model and holding vendors and internal teams accountable to that vision.

This role is well suited for a technically strong, self-directed professional who is curious, takes initiative, and is eager to grow by learning the business deeply on the job. Candidates with a consulting approach and a passion for IT, AI, and platform strategy will be especially well positioned to succeed in this opportunity.

• Define and lead the strategic data & architectural vision & direction for Lilly's contract management and rebate platform, ensuring alignment with LVA business objectives and enterprise technology standards.
• Serve as Lilly’s primary technical voice with Integri Chain, actively influencing the vendor’s product roadmap and pushing for capabilities that advance Lilly’s operational and AI/automation goals.
• Partner with LVA business collaborators, T@L product managers, and product owners to turn complex contract and payment challenges into clear technical requirements, platform enhancements, and long-term roadmap priorities.
• Lead architecture reviews, risk assessments, and governance forums for the platform, ensuring solutions are SOX-audit-compliant, scalable, resilient, and secure.

• Partner with key business collaborators to identify and prioritize AI and automation opportunities across LVA processes, from contracts and formulary analysis to rebate reconciliation.
• Architect and be responsible for the implementation of AI-powered solutions and integrations with the ICyte platform, SAP, and other Lilly systems.
• Integrate Lilly agentic AI workflows with Integri Chain workflows that accelerate interpretation of complex contract and government pricing data, reducing manual effort and supporting Lilly's growing sales volume.
• Champion adoption of AI-driven features across adjacent LVA systems; influence vendor development investments toward intelligent automation priorities.

• Define and govern application, integration, data, security, and infrastructure architecture across the LVA platform ecosystem, including cloud-native integrations with upstream and downstream enterprise systems.
• Establish and enforce architectural standards, patterns, and best practices; drive continuous improvement through modernization, cloud optimization, and technical debt reduction.
• Provide architectural guidance throughout the product lifecycle; anticipate and resolve complex technical,…