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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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.
Highest-signal resume keywords
AI Solution DevelopmentMarket Access OperationsAgile Delivery ManagementStakeholder Relationship BuildingBudget and Timeline Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Roadmap DevelopmentAgentic AI WorkflowsModel Evaluation and MonitoringData Quality ManagementBusiness Case DevelopmentComplex Problem TranslationPerformance ManagementPrompt EngineeringHuman-in-the-Loop SystemsAdvanced Analytics
Soft Skills
LeadershipCommunicationCollaborationTraining and EnablementChange Management
Tools & Technologies
Azure AIGoogle CloudAWSMLOpsLLMOpsWorkflow BuildersAgent Builders
Industry Keywords
Life SciencesHealthcareMarket AccessCommercial OperationsRegulated EnvironmentsReal-World EvidenceHealth Technology Assessment
Tech Stack
Tools & technologiesAWSAzureCloud
About the role
Key responsibilities & impact- Lead GSK's use of AI to deliver measurable commercial outcomes across Market Access
- Partner with Market Access, Commercial Operations, Finance, Tech, and Data teams to define business problems
- Identify and prioritize AI and agentic technology opportunities across pricing, contracting, channel management, trade operations, and payer engagement
- Build business cases, define benefits and success measures, shape the AI roadmap, and assess build, buy, and partner options
- Own end-to-end delivery from discovery and design through evaluation, production deployment, and ongoing performance management
- Lead data scientists, engineers, UX designers, and vendors through delivery and release decisions
- Secure data foundations across contract, pricing, rebate, claims, and channel data, including quality, lineage, and master data alignment
- Set quality standards and monitor model, prompt, and agent performance in production
- Manage versioning, change control, failure cases, drift, and continuous improvement based on user feedback
- 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 for Commercial and D&T teams
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
- Advanced degree in a relevant discipline preferred
- Experience building AI solutions for market access operations, real-world evidence, or health technology assessment preferred
- Experience with LLM orchestration frameworks, workflow or agent builders in regulated enterprise settings preferred
- Familiarity with Azure AI, Google Cloud, AWS, MLOps, and LLMOps 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 preferred
Benefits
Comp & perks- Comprehensive benefits program for US employees (details provided in GSK US Benefits Summary)
- Equal Opportunity Employer
