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.
Data is transforming Finance from a reporting function into a strategic decision engine. We're building the next generation of Finance data products that power AI, advanced analytics, intelligent automation, and enterprise decision-making.
As a Data Product Manager within the Finance Data Strategy organization, you will own one or more Finance data products from strategy through delivery and continuous improvement. You will partner closely with Finance leaders, Data Engineering, Architecture, Analytics, and Enterprise Data teams to define product strategy, prioritize roadmaps, and deliver trusted, scalable data products.
This role blends product management, business acumen, and technical expertise. You'll work with business leaders to translate Finance challenges into product opportunities while partnering with engineering teams to build AI‑ready data products that enable advanced analytics, intelligent automation, and generative AI across Finance.
Key Responsibilities
Product Strategy & Roadmap
- Own the vision, roadmap, and lifecycle for one or more Finance data products.
- Partner with Finance stakeholders to identify high‑value opportunities and prioritize investments based on business value, technical feasibility, and strategic alignment.
- Define product success metrics and continuously measure business value, adoption, and product performance.
- Champion an AI‑first product mindset by identifying opportunities for AI, automation, and intelligent decision support.
Product Delivery
- Translate business needs into product requirements, user stories, and prioritized backlogs.
- Lead end-to-end delivery of Finance data products across enterprise data and analytics platforms.
- Drive release planning and partner with engineering teams to deliver scalable, high-quality solutions while balancing technical debt and long‑term platform sustainability.
Technical & Platform Leadership
- Partner with Data Engineering, Architecture,