AI Product Leader: Market Access & Commercial Operations

GlaxoSmithKline

Durham (NC)

Hybrid

USD 170,000 - 250,000

Full time

14 days+

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Job summary

GlaxoSmithKline seeks an experienced AI-focused leader for Market Access to drive measurable commercial outcomes. You will align with enterprise account management, pricing, contracting, and payer engagement, shaping AI strategy and governance across systems like Salesforce Life Sciences Cloud and Veeva.

Senior delivery across data platforms (Snowflake, Databricks, Azure) and trade data, leading a cross-functional team to scale agentic AI solutions while ensuring compliance and business value.

Qualifications

  • 8+ years in life sciences or healthcare, including market access or related ops.
  • Experience translating complex problems into measurable programs.
  • Experience setting roadmaps and investment cases for senior leaders.
  • Delivery experience on CRM/contract/rebate and trade data platforms.

Responsibilities

  • Identify value levers for AI across enterprise account management and payer engagement.
  • Partner with Market Access, Commercial Ops, Trade & Distribution, Finance, Tech and Data to define clear problem statements.
  • Build business cases with defined benefits, costs, and success metrics.
  • Lead end-to-end delivery with data scientists, engineers, UX designers, and vendors.
  • Ensure responsible AI with governance, privacy, and compliance from the start.

Skills

Strategic thinking
Cross-functional collaboration
AI/ML in enterprise
Market access knowledge
Program management

Education

Bachelor's degree in business, economics, data science, computer science, public health, or life sciences

Tools

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

Job description

GlaxoSmithKline seeks an experienced AI-focused leader for Market Access to drive measurable commercial outcomes. You will align with enterprise account management, pricing, contracting, and payer engagement, shaping AI strategy and governance across systems like Salesforce Life Sciences Cloud and Veeva.

Senior delivery across data platforms (Snowflake, Databricks, Azure) and trade data, leading a cross-functional team to scale agentic AI solutions while ensuring compliance and business value.

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