Senior Director, Device Portfolio Insights

Eli Lilly Eli Lilly · Pharma · Indianapolis, IN

Senior Director of Device Portfolio Insights at Eli Lilly, responsible for enterprise ownership of device portfolio strategy, investment prioritization, and long-range value creation. This role orchestrates cross-functional integration and drives portfolio decisions to maximize strategic and financial return, utilizing AI-enabled decision support and predictive analytics for forecasting, risk assessment, and opportunity identification.

What you'd actually do

  1. Develop and maintain a comprehensive, integrated view of the device development portfolio spanning drug delivery pre-clinical & clinical research, device innovation, development, and commercialization projects, programs, and initiatives under device development
  2. Leverage deep portfolio knowledge and financial expertise to optimize investment strategies at both project and portfolio levels
  3. Develop, maintain, and continuously enhance the device development portfolio dashboard to support data-driven decision-making
  4. Champion use of decision science, data science, and AI applications in device development business intelligence to improve portfolio operations
  5. Ensure clear and consistent communication of portfolio status, insights, and recommendations to device development leadership and cross-functional stakeholders

Skills

Required

  • Bachelor's degree in relevant discipline (Business, Engineering, Life Sciences, Data Science, Operations Research)
  • minimum of 15 years of experience in pharmaceutical and medical device R&D, portfolio management, strategy, or related functions
  • Proven track record managing complex, multi-million-dollar portfolios with cross-functional dependencies
  • Significant experience with drug delivery systems, medical devices, or combination products
  • Demonstrated experience in resource management and capacity planning for R&D organizations
  • Experience with pharmaceutical governance processes and investment decision-making
  • Strong background in financial analysis, business case development, and investment optimization

Nice to have

  • Master's degree (MBA, MS) in relevant discipline (Business, Engineering, Life

What the JD emphasized

  • enterprise owner
  • AI-enabled decision support
  • predictive analytics and modeling capabilities
  • decision science, data science, and AI applications
  • predictive analytics and decision augmentation tools