Associate Director – Bi&a Hcp Product Analytics

Eli Lilly Eli Lilly · Pharma · Indianapolis, IN

Associate Director for BI&A HCP Product Analytics at Eli Lilly, responsible for leading the development and implementation of analytical products, championing AI-ready data, and managing the product lifecycle. The role involves collaborating with data engineering and business partners to drive data-driven decisions and ensure compliance.

What you'd actually do

  1. Identify, prioritize, deploy, and implement analytical products that provide data-driven insights, help answer critical questions, and meet business partner decision needs
  2. 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
  3. Champion AI-ready data development by partnering with data engineering to ensure datasets are structured, governed, and optimized for machine learning and AI applications
  4. 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
  5. Lead end-to-end product development lifecycle for analytics products – from requirements gathering and design through deployment, adoption, and iteration

Skills

Required

  • Bachelor’s Degree in Computer Science, Business Analytics, Finance, Engineering, Mathematics, Economics or related degree
  • Minimum 4 years’ experience in an analytics function
  • Sophisticated competence in a coding language (R, SAS, SQL, Python, etc.)
  • Demonstrated ability to communicate analytics concepts and influence change with a variety of business stakeholders
  • Excellent communication (written & verbal), interpersonal influencing skills, and prioritization skills with attention to detail

Nice to have

  • 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 ability to think strategically in an ambiguous environment
  • Proficiency in Databricks, including working with Delta Lake, notebooks, and MLflow for analytics and model development
  • Experience with Agentic AI and/or Gen AI
  • Demonstrated experience leading or contributing to system migration projects, particularly transitioning analytics or data infrastructure to modern platforms
  • Broad awareness and solid understanding of descriptive through prescriptive analytics
  • Experience in analytics product development, including ownership of the full product lifecycle from concept through delivery and adoption
  • Consistent history of delivering complex cross-functional projects
  • Demonstrated ability to effectively influence individuals from executive to associate levels

What the JD emphasized

  • AI-ready data development
  • Agentic AI and/or Gen AI experience

Other signals

  • AI-ready data development
  • analytics product development
  • Agentic AI and/or Gen AI experience