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Posted: 10/15/2026Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in leading AI strategy and product management within the pharma/life sciences sector, with a strong focus on AI/ML initiatives and stakeholder engagement. Capable of developing business cases, managing teams, and navigating regulatory constraints to drive high-value technology deployments.
Highest-signal resume keywords
AI/ML Product StrategyPharma Value Chain ExpertiseTeam Leadership in Product ManagementRegulatory Compliance in Pharma AIStakeholder Alignment and Engagement
About the role
Key responsibilities & impact- Lead Enterprise AI strategy and opportunity selection for GSK’s Global Supply Chain Business Unit
- Hunt for high-value AI opportunities across R&D, global supply chain, and commercial functions
- Develop and maintain a prioritized pipeline and portfolio of AI opportunities
- Build business cases for finance and executive sponsors using measurable value metrics
- Define trade-off frameworks, success metrics, and recommendations for engineering resource allocation
- Partner with forward-deployed engineering and full-stack engineering leads to translate business problems into problem statements, prototypes, metrics, and decision frameworks
- Shape engagements end-to-end, including scope, success criteria, exit conditions, and scaling pathways
- Identify reusable capabilities and platform leverage opportunities
- Run executive conversations and build sponsor coalitions for data access and change-management support
- Communicate AI impact to the executive leadership team and board
- Define value-realization frameworks and conduct post-mortems
- Line manage and develop a team of Product Managers
- Oversee third-party contractors
- Partner with GSC AI leaders across Quality, Manufacturing & Engineering, Supply Chain & Network Strategy, and CMC
Requirements
What you’ll need- 15 or more years of progressive experience spanning pharma/life sciences, AI/ML product strategy, and senior product management or strategy roles in technology-led organizations
- Demonstrated track record of identifying, scoping, prototyping, and shepherding high-value technology or AI initiatives from problem framing through executive funding and into delivery
- Deep working knowledge of the pharma value chain, ideally with first-hand exposure to R&D, clinical, manufacturing, or commercial environments and the data, decisions, and constraints inside them
- Strong technical fluency in modern AI/ML, including LLMs and agentic systems, ML lifecycle, data and evaluation patterns
- Experience leading and developing a team of product managers
- Product management or product-strategy heritage, including discovery, opportunity sizing, roadmap shaping, prototyping, and stakeholder alignment at scale
- Prior experience in a forward deployed engineering, applied AI, or AI lab/COE setting at a pharma, healthcare, or comparable regulated enterprise is a plus
- Background in management consulting, value engineering, or corporate strategy with hands-on technology depth is a plus
- Familiarity with pharmaceutical manufacturing and medicine or vaccine supply chains is a plus
- Experience navigating GxP, regulatory, and data-governance constraints in pharma AI deployments is a plus
Benefits
Comp & perks- Agile working culture and flexibility opportunities
- Equal opportunity employment
- Recruitment process adjustments available upon request
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/ML Technical FluencyPrototyping and Problem FramingValue Realization FrameworksData Evaluation PatternsOpportunity SizingRoadmap ShapingSuccess Metrics DefinitionTrade-Off FrameworksExecutive CommunicationChange Management
Soft Skills
LeadershipStrategic ThinkingCollaborationCommunicationNegotiation
Industry Keywords
Pharmaceutical ManufacturingClinical EnvironmentsGxP ComplianceData GovernanceSupply Chain ManagementRegulated EnterpriseManagement ConsultingValue EngineeringAI Lab/COE ExperienceHealthcare Technology