Drimva

GSK

Sr. AI Product Manager – Market Access

USA - Pennsylvania - Philadelphia +1 · Hybrid (Remote & On-site) · Manager · Full-time · Posted Oct 22, 2026

Location
USA - Pennsylvania - Philadelphia
Durham Blackwell Street
Experience
8+ years in life sciences or healthcare, including market access commercial operations.
Education
Bachelor's degree in business, economics, data science, computer science, public health, or life sciences.

About the job

Leads the strategy, development, deployment, and ongoing performance of AI products that improve commercial outcomes across GSK Market Access.

What you'll do

  • Prioritize AI opportunities and shape the roadmap and business cases across account management, pricing, contracting, trade, channel operations, and payer engagement.
  • Lead cross-functional teams and vendors through AI product discovery, development, evaluation, production deployment, and continuous improvement.
  • Ensure data readiness, responsible AI governance, compliance, and user adoption for deployed solutions.

What they ask for

  • 8+ years of experience in life sciences or healthcare, including market access commercial operations.
  • Experience building and operating agentic AI or LLM-based workflows in production environments.
  • Experience overseeing technology delivery through production deployment on commercial platforms, and managing teams or vendors, budgets, timelines, and quality.
  • Bachelor's degree in business, economics, data science, computer science, public health, or life sciences.

Nice to have

  • Direct experience building AI solutions for market access operations or related areas.
  • Experience with regulated-enterprise agentic AI platforms, cloud AI and data platforms, or AI integration with Salesforce or Veeva.

Tools

Salesforce Life Sciences Cloud, Veeva, Model N, Vistex, SAP, Snowflake, Databricks, Azure

AI focus

Build and operate agentic AI and LLM-based workflows for Market Access, from opportunity selection and evaluation through governed production deployment, monitoring, and improvement.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 6, 2026 (UTC)