AI-Driven Market Access & Analytics Leader

GSK

North East

On-site

GBP 120,000 - 180,000

Full time

5 days ago
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Job summary

GSK is seeking a senior AI leader for Market Access to drive end-to-end delivery of agentic AI initiatives, from discovery to production, with a strong emphasis on business impact and governance.

You will collaborate across finance, tech, and data teams to build compelling business cases, prioritize investments, and ensure responsible, compliant AI implementations in a regulated environment.

Qualifications

  • 10+ years in life sciences or healthcare, with experience in market access commercial operations.
  • 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 for senior leaders.
  • 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

Job description

GSK is seeking a senior AI leader for Market Access to drive end-to-end delivery of agentic AI initiatives, from discovery to production, with a strong emphasis on business impact and governance.

You will collaborate across finance, tech, and data teams to build compelling business cases, prioritize investments, and ensure responsible, compliant AI implementations in a regulated environment.

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