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Associate Director – BI&A HCP Product Analytics

Eli Lilly and Company
Indianapolis, United Statesfull_timeVerifiedPosted 28 May 2026
💰 $193,600/yr($132,000/yr$193,600/yr)

About the role

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.

Company Overview

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. Lilly is looking for talented and passionate individuals who are determined to make life better for people around the world.

The Business Insights and Analytics (BI&A) team is a global analytics and insights function focused on driving improved patient and business outcomes through the delivery of strategic and innovative insights grounded in data and analytics. The Associate Director–BI&A HCP Product Analytics is responsible for helping the HCP BI&A team, business, and functional partner teams make data-driven decisions. This role reports to the Senior Director – BI&A HCP, HCO and Payer Analytics.

Responsibilities and Key Objectives

  • Identify, prioritize, deploy, and implement analytical products that provide data-driven insights, help answer critical questions, and meet business partner decision needs
  • Lead product strategy and collaborate with counterparts across BUs and analytic teams to ensure consistent analytics’ product choices, data definitions, and business rules to enable opportunities to scale across the enterprise
  • Champion AI-ready data development by partnering with data engineering to ensure datasets are structured, governed, and optimized for machine learning and AI applications
  • Understand BI&A internal needs for efficiency, Brand/Business Unit strategies, market dynamics, and data sources to ensure analytic product recommendations and key workstreams align to the broader organizational strategy
  • Lead end-to-end product development lifecycle for analytics products – from requirements gathering and design through deployment, adoption, and iteration
  • Drive system migration initiatives, including transitioning legacy analytics platforms to modern cloud-based environments, ensuring continuity and data integrity throughout
  • Collaborate with a wide variety of teammates and business partners as a part of a highly matrixed organization
  • Contribute to an inclusive community within and outside of BI&A
  • Facilitate the cooperation, discussion, and execution between BI&A data engineering team, BI&A Product Teams, and Tech@Lilly for the building and deploying of consistent datasets for analysis
  • Ensure business decisions are made with solid supporting evidence grounded in analytics products that include actionable business insights and recommendations through effective communication
  • Facilitate the documentation and deployment of code and methodology to increase reusability and efficiency across BI&A
  • Manage and partner with external vendors when necessary
  • Ensure compliance with all privacy and contractual obligations related to the use of data
  • Orchestrate and coordinate analytics product deployment and implementation within team to efficiently triage analytics requirements and help prioritize analytics backlog in partnership with stakeholders
  • Provide analytics product coaching and training for teams on business impact, biases, and trade-offs with both approach and implementation
  • Champion the use of our products across the organization
  • Support a prospectively designed and planned testing culture that rapidly tests, measures, and iterates on marketing content and activity

Basic Qualifications

  • Bachelor’s Degree in Computer Science, Business Analytics, Finance, Engineering, Mathematics, Economics or related degree

  • Minimum 4 years’ experience in an analytics function

  • 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

Additional Skills / Preferences

  • Experience with Databricks or similar cloud data platforms (e.g., Azure, Snowflake) for large-scale data processing and analytics workflows
  • Strong analytical skills coupled with business acumen and an abi

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Company

Eli Lilly and Company

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