Head of Market Access Analytics & Ops

GSK plc; Philadelphia (Philadelphia County); On-site; USD 150,000 - 210,000; Full time

Job summary

GSK plc in the United States seeks a senior leader to define and deliver AI-enabled market access solutions. You will govern end-to-end delivery with data scientists, engineers, and vendors, shaping roadmaps and governance for responsible AI in pricing, contracting, and payer engagement.

You will partner with diverse teams to turn business problems into measurable programs, balancing quick wins with long-term capability while ensuring regulatory compliance and stakeholder alignment.

Qualifications

• 10+ years in life sciences or healthcare, with experience in market access commercial operations - account management, pricing, contracting, channel management, trade operations, or payer engagement.
• Bachelor's degree in business, economics, data science, computer science, public health, or life sciences.
• Experience translating complex business problems into programs that deliver measurable results.
• Experience setting priorities and building roadmaps or investment cases that senior leaders acted on.
• Experience overseeing technology delivery from design through production deployment, ideally including AI or advanced analytics.
• Experience managing delivery teams and vendors - budgets, timelines, quality - on complex programs.
• Hands‑on experience building and operating agentic AI or LLM‑based workflows in production - not just pilots - from idea to measured outcome.
• Experience with agile delivery and testing/validation in regulated environments.
• Technical knowledge to engage data scientists and vendors on model and agentic workflow evaluation, monitoring, and governance.
• Experience building trusted relationships with senior stakeholders and explaining complex ideas clearly.

Responsibilities

• Partner with Market Access, Commercial Operations, Finance, Tech, and Data teams to turn pain points into clear, specific problem statements.
• Identify where AI and agentic technology can create the most value across pricing, contracting, channel management, trade operations, and payer engagement — weighing impact, feasibility, and risk to prioritize investment.
• Build business cases with clear expected benefits, costs, and success measures; shape the AI roadmap, balancing quick wins with long-term capability, and assess build, buy, and partner options.
• Own delivery end to end - leading data scientists, engineers, UX designers, and vendors through design, build, evaluation, and production deployment, making key build and release decisions tied back to the business case.
• Partner with Data Engineering and commercial data owners to secure the data foundation these products depend on - contract, pricing, rebate, claims, and channel data quality, lineage, and master data alignment.
• Set the quality bar for AI solutions - validate before release, then own them after go-live: monitor model, prompt, and agent performance in production, manage versioning and change control, triage failure cases and drift, and run continuous improvement loops from user feedback.
• Ensure responsible AI use, with human oversight, documentation, compliance, and governance built in from the start.
• Manage budgets, timelines, vendor performance, and delivery risk, flagging issues early.
• Prototype and validate solutions in the real world, then drive adoption - enablement, training, documentation, and SOP updates - and convert proven solutions into reusable patterns other Commercial and D&T teams can adopt.

Skills

Agile Methodology

Cross-Functional Teamwork

Data Analysis

Design Thinking

DevOps

Prioritization

Product Development Research

Product Roadmapping

Project Management

ROI

Software Development

Strategy Deployment

UX

UI Design

Education

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

Tools

Azure AI

Google Cloud

AWS

Job description

GSK plc in the United States seeks a senior leader to define and deliver AI-enabled market access solutions. You will govern end-to-end delivery with data scientists, engineers, and vendors, shaping roadmaps and governance for responsible AI in pricing, contracting, and payer engagement.

You will partner with diverse teams to turn business problems into measurable programs, balancing quick wins with long-term capability while ensuring regulatory compliance and stakeholder alignment.