DDCS Business Analytics Data Lead & Portfolio

Business Analytics Data Lead

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.

The Delivery Device and Connected Systems (DDCS) group is looking for a candidate who can serve as the Business Analytics Data Lead for DDCS portfolio reporting and insights. This role is accountable for pulling and integrating data from key sources, translating it into clear business meaning, and creating executive-ready narratives that inform decisions. The person in this role will proactively highlight risk areas (e.g., portfolio health, resource constraints, schedule risk, and operational bottlenecks) and recommend actions based on data.

This role is a hands-on "doer" role—owning the work of building analyses, dashboards, and recurring insights—not just coordinating it. The role reports to a leader who serves as the connector to external functions and senior leaders; the Business Analytics Data Lead ensures leadership has high-quality, accurate, and decision-relevant insights on DDCS portfolio performance.

Key Responsibilities:

• Develop, maintain, and continuously improve DDCS portfolio analytics and reporting that enable leadership decision-making.
• Pull, integrate, and validate data from relevant systems and sources (e.g., portfolio trackers, Smartsheet, Power BI datasets, extracts, and other approved repositories).
• Create clear definitions and governance for metrics (e.g., milestone health, resource/FTE views, throughput, cycle time, productivity indicators, and adoption/usage measures).
• Ensure data quality through reconciliation, standardization, and routine checks; document assumptions, definitions, and limitations.
• Convert raw data into actionable insights that explain what is happening, why it matters, and what leadership should do next.
• Identify trends, drivers, and outliers; perform root-cause exploration where appropriate.
• Translate analysis into implications for DDCS strategy, portfolio prioritization, resourcing, and operational execution.
• Be the DDCS portfolio data storyteller—creating digestible, leadership-ready narratives and visuals.
• Deliver concise readouts (written and visual) for leadership forums, including risks, trade-offs, and recommended actions.
• Tailor communication for different audiences (technical vs. business) while maintaining accuracy and clarity.
• Proactively identify program and portfolio risk signals and ensure they are visible early.
• Highlight risk areas such as schedule slippage, milestone readiness gaps, resource constraints, data integrity issues, and dependencies across functions.
• Recommend mitigation actions and track follow-through with owners as appropriate.
• Partner closely with DDCS Operations and cross-functional stakeholders to ensure consistent metrics and aligned reporting.
• Coordinate with Tech@Lilly, PRD, and Bengaluru data teams to enable consistency, reuse, and synergy where possible.
• Align outputs to broader standards and enterprise initiatives as applicable.
• Support additional initiatives and side projects as needed (e.g., process improvements, communications, AI adoption, and tools/systems implementation) to strengthen DDCS portfolio execution and decision-making.
• Develop scope of work, priority, timing/milestones, resource estimates; inform DDCS business planning.
• Evaluate and design business processes/best practices/templates/tools to guide execution.
• Lead initiatives/project that require cross functional/external collaboration.
• Coordinate and synchronize deliverables; establish team operating cadence.
• Design, collect, and communicate meaningful metrics to gage and communicate progresses (e.g.…