Sr Director - Medical Affairs Analytics Product

Location: Indianapolis

Sr Director - Medical Affairs Analytics Product Skip to main content

We use cookies and other tracking technologies to assist with navigation, improve our products and services, assist with our marketing efforts, and provide content from third parties. By continuing to use this site you agree to our use of cookies in accordance with our privacy policy (this content opens in new window). To manage third-party cookie preferences,  (this content opens in new window).#

Career Opportunities Sr Director - Medical Affairs Analytics Product page is loaded## Sr Director - Medical Affairs Analytics Product Apply locations:
US, Indianapolis INtime type:
Full time posted on:
Posted Todayjob requisition :
R-103888

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.
** Senior Director, Business Insights & Analytics – Medical Affairs Product Delivery**## The
** Business Insights and Analytics (BI&A)
** team is a global analytics function focused on driving improved patient and business outcomes through strategic, data-driven insights.## ##
** Position Overview
** The
** Senior Director, Business Insights & Analytics – Medical Affairs Product
** will lead a transformational initiative to
** create fast, efficient intelligence through Agentic AI to accelerate medical solutions to healthcare providers and reach patients faster**. This position is responsible for advancing the Medical Affairs product strategy to enable the core Business Unit integration teams with both data and analytical products that can scale, accelerate and advance the core priorities for the Medical Affairs function.

This role sits at the intersection of modern AI innovation and Medical Affairs strategy, directly impacting our ability to close clinical care gaps and advance scientific data dissemination—especially for therapies addressing large unmet needs.

You will pioneer Agentic AI adoption across US and International Business Units (IBU) by building tools through intelligent, AI-ready data foundations that enable faster, smarter Medical Affairs decisions. Success means delivering measurable business impact: improved patient outcomes, capacity savings through automation, influence on global strategic decisions, and collaborators who actively cite your team's insights as drivers of their success.## ##
** Key Responsibilities
**** Strategic Leadership & Vision**
* ** Develop and implement comprehensive Medical Affairs Analytics Product strategy
** using a product-first approach aligned with BI&A and Agentic AI goals
* Direct the Medical Affairs analytics product portfolio with end-to-end accountability for insights that
** accelerate delivery of medical solutions and close clinical care gaps
*** Champion Agentic AI transformation as a strategic differentiator, positioning Lilly as an industry leader in autonomous Medical Affairs analytics
* Develop multi-year product roadmaps balancing AI innovation with regulatory compliance, scientific rigor, and business value
* Participate in strategy development and future-state visioning across BI&A product teams
* Partner with Medical Affairs leadership to identify high-impact opportunities where AI-driven insights influence critical decisions
* Translate complex AI capabilities into compelling value propositions for global Medical Affairs participants## ##
** AI-Ready Data Foundation & Agentic AI Deployment**
* ** Provide strategic leadership on Agentic AI work
** through close partnership across BI&A functions (Data Engineering, Data Science, Privacy, BU Integration teams, etc) to build a consistent, aligned AI data foundation
* Build
** AI-ready data infrastructure
** ensuring data quality, lineage, policy as code, governance,…