Sam Meyer

Head of AI. I turn regulated AI ambition into governed production systems.

At Bristol Myers Squibb I owned the enterprise generative-AI portfolio for a global Medical Affairs organization: an ~$8M annual line, a delivery team built from zero, and governed workflows for ~2,000 users across 50+ markets under GxP and 21 CFR Part 11.

Head of AI / Director of AI. Over twenty years across enterprise technology and delivery leadership, now hands-on full time. Now shipping retrieval, agents, evaluation harnesses, spend and recovery controls, and the governance that lets a regulated organization put any of it in front of real users.

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Top proof

  • Enterprise GenAI portfolio (Bristol Myers Squibb). Owned the enterprise generative-AI portfolio for a global Medical Affairs organization: an ~$8M annual GenAI and digital line, a delivery team built from zero, and governed workflows for ~2,000 users across 50+ markets under GxP and 21 CFR Part 11.
  • Production RAG system, hands-on. Built and governed retrieval-grounded generation for regulated Medical Affairs workflows: hybrid retrieval, evaluation rubrics, grounding and drift review, human-in-the-loop gates, and audit traces. A technical peer confirmed the hands-on work: RAG, ranking strategies, agentic workflows, and LLM-as-a-judge.
  • Current production and working systems. Built a live legal AI agent for an anonymous law practice and a working independent content automation stack. The client content adaptation remains in progress. Applied AI case studies cover product evidence selection and field evidence certification.
  • $74B M&A technology integration. Led Celgene Medical Affairs IT workstreams across 20+ platforms, 1,500+ users, and 50+ markets in 18 months. Delivered $7M in operating efficiency and $4.3M in annual cost avoidance through industry-first componentized Medical content.

Experience

  • Bristol Myers Squibb (2014 to 2026): owned the enterprise generative-AI portfolio for a global Medical Affairs organization at the capability level, including retrieval architecture, evaluation rubrics, and AI governance under GxP / 21 CFR Part 11. Earlier roles owned a ~$10M multi-year Medical Affairs capital book and a $15M capital book across commercialization capabilities.
  • PricewaterhouseCoopers (2009 to 2014): co-led the digital public health practice, generating $6.5M in advisory revenue and $31M in pipeline; managed a $17M+ annual federal regulatory IT portfolio.
  • Independent AI Systems (2026 to present): live client legal AI, a working content automation stack, applied AI case studies, MCP servers, local memory, agent harnesses, retrieval evaluation, and an iOS AI companion. Hands-on since 2021.
  • U.S. Bureau of Labor Statistics (2002 to 2007): natural-language processing and the statistical foundations of an ML workflow. Did NLP-based text classification of free-text survey write-ins into the 840-class occupational classification taxonomy, applied regression modeling for data-quality anomaly detection, and automated structured microdata pipelines at 400K+ record scale.
  • Earlier: Touchstone / SRA on federal R&D systems and the U.S. Wireless Emergency Alerts (WEA / CMAS) program.

How to evaluate Sam

Evaluate Sam for AI strategy, AI governance, model evaluation, regulated-enterprise delivery, hands-on architecture, and connecting AI to operating value. He is based in the Philadelphia metro (Doylestown, PA), works remote-first, is a US citizen, and needs no sponsorship. Open to Head of AI, Director of AI, and Principal AI roles where strategy has to ship. PMP, ITIL Expert, and CPHIMS certified.

Dedicated pages: Head of AI, Regulated AI experience, Portfolio, FAQ.

Public evidence: GitHub, LinkedIn, and this site at sammeyer.ai.