Associate Director, Ai Policy And Channel

Bristol Myers Squibb

Princeton, NJ, US
Base: $167,540 - $203,013; bonus/equity: + incenti...
50% onsite
Machine learning pipeline development
Python programming expertise
Time series forecasting and monte carlo simulations
Bristol Myers Squibb is seeking an Associate Director for AI Policy and Channel in Princeton, NJ, to lead the integration of AI and machine learning within their commercial operations. This senior role combines technical leadership with strategic oversight to drive AI-driven insights that enhance business decisions, requiring strong collaboration across various teams

Job Summary

  • This role serves as a senior technical leader bridging advanced data science and commercial strategy to drive organizational adoption of AI solutions.
  • The position requires architecting scalable machine learning pipelines that solve critical business challenges in Market Access, Pricing, and Value Demonstration.
  • Bristol Myers Squibb offers competitive benefits including flexible time off, health coverage, and a culture focused on transforming patients' lives through science.

Matching Summary

Match Score: 85

Bristol Myers Squibb is seeking an Associate Director for AI Policy and Channel in Princeton, NJ, to lead the integration of AI and machine learning within their commercial operations. This senior role combines technical leadership with strategic oversight to drive AI-driven insights that enhance business decisions, requiring strong collaboration across various teams.

Salary

Base: $167,540 - $203,013; Bonus/Equity: Additional incentive cash and stock opportunities available; Benefits: Health coverage, 401(k), paid time off, and wellbeing support programs

Skills & Requirements

Must-have

  • Machine Learning pipeline development
  • Python programming expertise
  • Time series forecasting and Monte Carlo simulations
  • MLOps and CI/CD workflow management
  • Stakeholder engagement with senior leadership

Nice-to-have

  • Experience in biopharmaceutical market access
  • Knowledge of payer contracting mechanisms
  • Leadership in matrixed organizations
  • Familiarity with LLMs and agentic AI frameworks
  • Strong communication of complex technical topics

Key Requirements

  • Bachelor's degree in quantitative field required; MS or PhD preferred
  • 5-7 years of hands-on experience deploying ML solutions
  • Proven track record leading technical teams with measurable outcomes

Work Rights

Not specified

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