Senior AI Product Manager – Market Access

GSK

. Lead GSK's use of AI to deliver measurable commercial outcomes across Market Access .

Posted 10/22/2026full-timePhiladelphia • Pennsylvania • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading AI initiatives to drive measurable commercial outcomes in Market Access, with a strong focus on integrating solutions across various commercial platforms and ensuring compliance and governance in regulated environments.

Highest-signal resume keywords

AI Solution DevelopmentMarket Access Commercial OperationsAgile Delivery and TestingData Quality and GovernanceStakeholder Presentation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Agentic AI WorkflowsLLM-Based WorkflowsBusiness Case DevelopmentTechnology Delivery ManagementData IntegrationChange ControlComputer System ValidationPrompt EngineeringPerformance MonitoringBudget Management

Soft Skills

LeadershipCollaborationCommunicationProblem-SolvingTraining and Enablement

Tools & Technologies

CRM SystemsCloud AI PlatformsSalesforceVeeva AI IntegrationMLOpsData Platforms

Industry Keywords

Life SciencesHealthcareMarket AccessRegulated Environments340BSpecialty PharmacyDistributor Channel DataIDN DataAccount Hierarchy ModelingGxP Compliance

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Lead GSK's use of AI to deliver measurable commercial outcomes across Market Access
Identify high-value applications for AI and agentic technology across account management, provider systems, pricing, contracting, trade and channel management, and payer engagement
Shape the AI roadmap and assess build, buy, and partner options
Partner with Market Access, Commercial Operations, Trade & Distribution, Finance, Tech, and Data teams to define business problems
Build business cases with expected benefits, costs, and success measures
Own end-to-end delivery from discovery and design through build, evaluation, production deployment, and ongoing performance management
Lead data scientists, engineers, UX designers, and vendors
Integrate solutions with CRM, account, contract, rebate, trade data, and cloud data platforms
Secure data quality, lineage, master data alignment, and data foundations with Data Engineering and commercial data owners
Set quality standards, validate solutions, monitor model/prompt/agent performance, manage versioning and change control, and run continuous improvement
Ensure responsible AI, human oversight, documentation, compliance, governance, privacy, and auditability
Manage budgets, timelines, vendor performance, and delivery risk
Prototype and validate solutions with account, contracting, trade, and channel operations users
Drive adoption through enablement, training, documentation, SOP updates, and reusable solution patterns

Requirements

What you’ll need

8+ years of experience in life sciences or healthcare, including market access commercial operations experience
Experience translating complex business problems into programs with measurable results
Experience setting priorities and developing roadmaps or investment cases for senior leadership decision-making
Experience overseeing technology delivery from design through production deployment on commercial platforms
Experience managing delivery teams and vendors on complex programs, including budgets, timelines, and quality
Experience building and operating agentic AI or LLM-based workflows in production environments
Experience with market access commercial systems, including enterprise CRM and account platforms, contract/chargeback/rebate and gross-to-net systems, trade data, formulary and claims data, and customer/account master data
Experience with agile delivery and testing/validation in regulated environments, including computer system validation and SOX/GxP-aligned change control
Experience partnering with data scientists and vendors on evaluation, monitoring, and governance of models and agentic workflows
Experience presenting complex information to senior stakeholders
Bachelor's degree in business, economics, data science, computer science, public health, or life sciences
Advanced degree (MBA, MSc, MPH, PhD) in a relevant discipline is a plus
Direct experience building AI solutions for market access operations is a plus
Experience with IDN/health system affiliation data, account hierarchy modeling, 340B, specialty pharmacy, and distributor channel data is a plus
Experience designing or operating agentic AI/automation platforms in a regulated enterprise setting is a plus
Familiarity with cloud AI platforms, data platforms, Salesforce or Veeva AI integration, and MLOps/LLMOps is a plus
Experience with human-in-the-loop systems, prompt engineering, or generative AI in regulated environments is a plus
Experience assessing AI vendors or platforms is a plus
Experience leading transformation, merger integration, or operating model change is a plus

Benefits

Comp & perks

Comprehensive benefits program for US employees (GSK US Benefits Summary referenced)
Hybrid work arrangement (on-site part of the week and remote the remainder)