Director, Market Access Operations & Analytics

GSK plc; Philadelphia (Philadelphia County); Sur place; USD 150 000 - 210 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

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

Formation

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

Outils

Azure AI

Google Cloud

AWS

Description du poste

Business Introduction

GSK remains committed to achieving bold commercial ambitions for the future. By 2031, we aim to deliver £40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients globally. Our Ahead Together strategy is centered on early intervention to prevent and alter the course of disease, thereby protecting people and supporting healthcare systems. Our diverse portfolio consists of vaccines, specialty medicines, and general medicines. Through continuous innovation and a dedicated focus on scientific and technical excellence, we strive to develop and launch new, groundbreaking treatments that address critical health challenges.

Key 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.

Basic Qualification

• 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.

Preferred Qualification

• Advanced degree (MBA, MSc, MPH, PhD) in a relevant discipline.
• Direct experience building AI solutions for market access operations, real‑world evidence, or health technology assessment.
• Experience designing or operating agentic AI/automation platforms (e.g., LLM orchestration frameworks, workflow or agent builders) in a regulated enterprise setting.
• Familiarity with cloud AI platforms (Azure AI, Google Cloud, AWS) 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.

Skills

• Agile Methodology
• Cross‑Functional Teamwork
• Data Analysis
• Design Thinking
• DevOps
• Prioritization
• Product Development Research
• Product Roadmapping
• Project Management
• Return on Investment (ROI)
• Software Development
• Strategy Deployment
• User Experience (UX)
• User Interface (UI) Design

Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.

Why GSK?

Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at [e-mail].

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.