Director, Market Access Operations – Analytics

GSK

. Lead how GSK uses AI to deliver measurable commercial outcomes across Market Access .

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

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 managing delivery teams, vendor performance, and ensuring compliance in regulated environments. Proficient in building business cases, shaping AI roadmaps, and translating complex business problems into actionable programs.

Highest-signal resume keywords

AI Solution DevelopmentMarket Access OperationsAgile DeliveryVendor ManagementData Quality Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Workflow EvaluationAgentic AI DevelopmentAdvanced AnalyticsBudget ManagementProduction DeploymentPrompt EngineeringHuman-in-the-Loop SystemsModel MonitoringChange ControlData Science

Soft Skills

Stakeholder Relationship BuildingComplex Problem TranslationTeam LeadershipCommunication SkillsTraining and Enablement

Tools & Technologies

Azure AIGoogle CloudAWSMLOpsLLMOps

Certifications & Qualifications

Bachelor's DegreeAdvanced Degree (MBA, MSc, MPH, PhD)

Industry Keywords

Life SciencesHealthcareMarket AccessCommercial OperationsRegulated Environments

Tech Stack

Tools & technologies

AWSAzureCloud

About the role

Key responsibilities & impact

Lead how GSK uses AI to deliver measurable commercial outcomes across Market Access
Partner with Market Access, Commercial Operations, Finance, Tech, and Data teams to define problems
Identify and prioritize AI and agentic technology opportunities across pricing, contracting, channel management, trade operations, and payer engagement
Build business cases, shape the AI roadmap, and assess build, buy, and partner options
Own delivery from discovery and design through build, evaluation, production deployment, and ongoing performance management
Lead data scientists, engineers, UX designers, and vendors through delivery and release decisions
Partner with Data Engineering and commercial data owners on data quality, lineage, and master data alignment
Monitor model, prompt, and agent performance; manage versioning, change control, failure cases, drift, and continuous improvement
Ensure responsible AI use, human oversight, documentation, compliance, and governance
Manage budgets, timelines, vendor performance, and delivery risk
Prototype and validate solutions, drive adoption through enablement and training, and create reusable patterns

Requirements

What you’ll need

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 acted on by senior leaders
Experience overseeing technology delivery from design through production deployment, ideally including AI or advanced analytics
Experience managing delivery teams and vendors, including budgets, timelines, and quality
Hands-on experience building and operating agentic AI or LLM-based workflows in production
Experience with agile delivery and testing/validation in regulated environments
Technical knowledge of model and agentic workflow evaluation, monitoring, and governance
Experience building trusted relationships with senior stakeholders and explaining complex ideas clearly
Preferred: Advanced degree (MBA, MSc, MPH, PhD) in a relevant discipline
Preferred: Direct experience building AI solutions for market access operations, real-world evidence, or health technology assessment
Preferred: Experience designing or operating agentic AI/automation platforms in a regulated enterprise setting
Preferred: Familiarity with Azure AI, Google Cloud, AWS, and MLOps/LLMOps concepts
Preferred: Experience with human-in-the-loop systems, prompt engineering, or generative AI in regulated environments
Preferred: Experience assessing AI vendors or platforms
Preferred: Experience leading transformation, merger integration, or operating model change

Benefits

Comp & perks

Comprehensive benefits program for US employees
Accommodation or other assistance to apply
Equal opportunity employment