Sr. AI Product Manager – Market Access

GSK•Philadelphia, PA

1d•Hybrid

About The Position

The Sr. AI Product Manager will lead how GSK applies AI to deliver measurable commercial outcomes across Market Access, including enterprise and provider account management, pricing and contracting, trade and channel management, and payer engagement. The role works closely with business leaders to understand operational needs, identify where AI and agentic technology can create value, and own delivery from discovery through production deployment and ongoing performance management. This position sits at the intersection of product, engineering, and commercial strategy. The product manager will set priorities and roadmaps, assess build-versus-buy options, establish quality standards for non-deterministic AI systems, and move solutions from proof of concept to governed production use integrated with systems of record. The role partners across Market Access, Commercial Operations, Trade & Distribution, Finance, Technology, and Data, and measures success through adoption and quantified commercial impact. The position is hybrid, with on-site work part of the week and remote work the remainder. A bachelor's degree in a relevant field and at least eight years of life sciences or healthcare experience are required. Advanced degrees and direct AI, market access, and regulated-enterprise experience are preferred.

Requirements

At least 8 years of experience in life sciences or healthcare, including market access commercial operations such as enterprise or provider account management, pricing, contracting, trade and channel management, or payer engagement.
Experience translating complex business problems into programs with measurable results.
Experience setting priorities and developing roadmaps or investment cases for senior leadership decisions.
Experience overseeing technology delivery from design through production deployment on commercial platforms such as CRM/account management, contract and rebate management, or trade data and master data management.
Experience managing delivery teams and vendors on complex programs, including budgets, timelines, and quality.
Experience with market access commercial systems, including enterprise CRM and account platforms; contract, chargeback, rebate, and gross-to-net systems; trade data and wholesaler/distributor feeds; formulary and claims data; and customer/account master data.
Experience with agile delivery and testing or 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.

Nice To Haves

Experience with AI or advanced analytics solutions.
Experience building and operating agentic AI or LLM-based workflows in production, from concept through measured outcome.
Advanced degree (MBA, MSc, MPH, or PhD) in a relevant discipline.
Direct experience building AI solutions for market access operations, enterprise or provider account intelligence, contract and trade analytics, real-world evidence, or health technology assessment.
Experience with IDN/health system affiliation data and account hierarchy modeling, and with 340B, specialty pharmacy, and distributor channel data and compliance.
Experience designing or operating agentic AI/automation platforms in a regulated enterprise setting.
Familiarity with cloud AI platforms, data platforms, AI integration with Salesforce or Veeva, and MLOps/LLMOps concepts.
Experience with human-in-the-loop systems, prompt engineering, or deploying generative AI in regulated environments.
Experience assessing AI vendors or platforms.
Experience leading transformation, merger integration, or operating model change.

Responsibilities

Identify and prioritize opportunities for AI and agentic technology across enterprise and provider account management, pricing, contracting, chargebacks and rebates, trade and channel management, and payer engagement, weighing impact, feasibility, and risk.
Shape the AI roadmap, balance near-term opportunities with long-term capabilities, and assess build, buy, and partner options, including capabilities embedded in existing platforms.
Partner with Market Access, Commercial Operations, Trade & Distribution, Finance, Technology, and Data teams to turn business needs into clear problem statements.
Build business cases that define expected benefits, costs, and success measures.
Own delivery end to end, leading data scientists, engineers, UX designers, and vendors through design, build, evaluation, and production deployment; make build and release decisions tied to the business case.
Integrate solutions with commercial CRM and account platforms, contract and rebate management systems, and cloud data platforms.
Partner with Data Engineering and commercial data owners to secure data quality, lineage, and master data alignment for contract, pricing, rebate, chargeback, claims, formulary, and trade data.
Set quality standards for AI solutions; validate before release and monitor model, prompt, and agent performance after launch.
Manage versioning and change control, triage failures and drift, and run continuous improvement loops based on user feedback.
Build responsible AI practices into delivery, including human oversight, documentation, compliance, and governance; address relevant GxP/SOX controls, government pricing and 340B compliance, privacy, and auditability.
Manage budgets, timelines, vendor performance, and delivery risks, and raise issues early.
Prototype and validate solutions with account teams and contracting, trade, and channel operations users; drive adoption through enablement, training, documentation, and SOP updates.
Turn proven solutions into reusable patterns for other Commercial and D&T teams.