Associate Director, Ai Policy And Channel

Bristol Myers Squibb

Princeton, NJ, United States
Base: $167,540 - $203,013; bonus/equity: not speci...
On-site
Machine learning pipelines
Technical standards and best practices
Advanced modeling techniques
Bristol Myers Squibb is seeking an Associate Director for AI Policy and Channel to lead the integration of AI and machine learning in its commercial operations. The role demands a blend of technical expertise, strategic thinking, and leadership to drive AI-driven insights that support business decisions in a complex healthcare environment

Job Summary

  • The Associate Director, Artificial Intelligence, Policy and Channel (AIPC) is a senior technical leader who sits at the intersection of advanced data science and commercial strategy at BMS.
  • This role requires the ability to shape how AI and machine learning are applied across BMS's commercial operations, while leading a team and driving broad organizational adoption.
  • Key responsibilities include architecting and overseeing ML pipelines, translating strategy into delivery, building strategic partnerships, and owning the full AI product lifecycle.

Matching Summary

Match Score: 85

Bristol Myers Squibb is seeking an Associate Director for AI Policy and Channel to lead the integration of AI and machine learning in its commercial operations. The role demands a blend of technical expertise, strategic thinking, and leadership to drive AI-driven insights that support business decisions in a complex healthcare environment.

Salary

Base: $167,540 - $203,013; Bonus/Equity: Not specified; Benefits: Health Coverage, Wellbeing Support, Financial Well-being and Protection, Work-life benefits

Skills & Requirements

Must-have

  • machine learning pipelines
  • technical standards and best practices
  • advanced modeling techniques
  • stakeholder engagement and collaboration
  • AI product lifecycle management
  • Python programming

Nice-to-have

  • biopharmaceutical market access understanding
  • payer contracting mechanisms knowledge
  • legislative policy environment awareness
  • inclusive leadership commitment

Key Requirements

  • Bachelor's degree in a quantitative field
  • Minimum 5–7 years of hands-on ML experience
  • Experience leading technical teams or projects
  • Proven track record of managing AI product lifecycles
  • Experience in biopharmaceutical or healthcare environments preferred

Work Rights

Not specified

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