Data Product Manager - Finance

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, and Analytics teams on data ingestion, modeling, semantic layers, governance, and data quality. Guide product decisions on technical trade-offs to ensure scalable, reliable, and reusable enterprise data capabilities.

Stakeholder Leadership Serve as the primary product owner for assigned Finance data products. Build trusted partnerships across Finance and Technology organizations.

Lead roadmap discussions and communicate product strategy, delivery progress, risks, and outcomes to stakeholders and senior leadership. Product Adoption & Continuous Improvement Drive product adoption through user engagement, training, and change management.

Gather customer feedback and continuously enhance product capabilities. Identify opportunities to improve business processes through data products, automation, and analytics.

Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, Business, Finance, or a related field. 5+ years of experience in Data Product Management, Product Management, Technical Product Management, or enterprise data and analytics initiatives. Experience partnering with cross-functional business and engineering teams to deliver enterprise-scale products.

Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.

Preferred Qualifications Experience building enterprise data products supporting Finance or other business functions. Understanding of Finance processes such as planning, forecasting, close, and reporting.

Experience with Microsoft Fabric, Azure, AWS, Databricks, Snowflake, or similar cloud data platforms. Experience supporting AI, machine learning, or advanced analytics initiatives.

Understanding of enterprise data platforms, ETL pipelines, semantic models, and data governance. Experience working in regulated environments supporting SOX or audit requirements.

Experience working in Agile product delivery environments. Strong stakeholder management, executive communication, and influencing skills.

Technical Capabilities Product strategy and roadmap development Agile product management and backlog prioritization Enterprise data platforms and cloud ecosystems Data modeling and semantic layers Data quality, governance, and lineage SQL and data analysis Power BI or enterprise BI platforms ERP data structures Azure DevOps, Jira, or equivalent What Makes Someone Successful Thinks like a product manager, focusing on customer value and measurable business outcomes. Balances business priorities with technical realities.

Builds trusted partnerships across business and engineering teams. Makes informed decisions using data and customer feedback.

Communicates effectively with both technical and executive audiences. Thrives in ambiguity and continuously improves products through an iterative, outcome-driven approach.

Champions innovation and AI-first thinking to create business value. Additional Information Travel ~10%