Principal – Commercial Enterprise AI Product Management, Knowledge Foundation and Insights Acceleration

GSK

. Hunt for high-value AI opportunities across the insights acceleration lifecycle, including PMR, SMR, competitive intelligence, and third-party market data foundations .

Posted 10/19/2026full-timeUnited StatesSenior💰 $195,525 - $325,875 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in AI product strategy and management within the pharma/life sciences sector, with a strong focus on translating complex business problems into actionable insights and frameworks. Proven ability to lead cross-functional teams and engage with executive leadership to drive AI initiatives from conception to delivery.

Highest-signal resume keywords

AI Product StrategyPharma Market ResearchKnowledge Graph DevelopmentRegulatory Compliance NavigationCommercial Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Initiative DeliveryOpportunity SizingPrototypingKPI Framework DevelopmentData ManagementMarket Intelligence AnalysisDecision FrameworksDigital Worker DesignLLM ExperienceAgentic Systems

Soft Skills

Influencing TeamsExecutive CommunicationStakeholder AlignmentChange ManagementProblem Framing

Tools & Technologies

IQVIAKomodoReltioInformaticaPalantir FoundryNeo4jAmazon NeptuneVector SearchRAG Infrastructure

Industry Keywords

PharmaLife SciencesAI/MLData GovernanceGxP ComplianceCompetitive IntelligenceInsights GenerationTechnology-led OrganizationsValue EngineeringManagement Consulting

Tech Stack

Tools & technologies

InformaticaNeo4j

About the role

Key responsibilities & impact

Hunt for high-value AI opportunities across the insights acceleration lifecycle, including PMR, SMR, competitive intelligence, and third-party market data foundations
Develop a global portfolio of AI products ranked by impact, feasibility, and time-to-value
Build rigorous business cases quantifying cycle time saved, decisions accelerated, revenue uplift, cost avoided, and scientific productivity gained
Develop domain pattern recognition for organizing market, competitive, and HCP/patient data for compliant, secure insights generation
Own the Enterprise AI opportunity portfolio across in-flight, queued, and de-prioritized opportunities
Define trade-off frameworks, success metrics, analyses, and recommendations for engineering resource allocation
Translate ambiguous business problems into problem statements, prototypes, success metrics, and decision frameworks
Shape engagements end-to-end, including scope, success criteria, exit conditions, and scaling pathways
Identify reusable capabilities and platform leverage with engineering
Design the human-digital split, including digital-worker ownership, human oversight, and evaluation
Lead executive conversations and turn strategic ambitions into fundable AI engagements
Build sponsor coalitions to secure air cover, data access, and change-management commitment
Communicate AI impact to the executive leadership team and board
Define Enterprise AI value-realization frameworks
Run post-mortems and feed learnings into opportunity selection and engagement design
Sharpen the investment thesis for AI at GSK

Requirements

What you’ll need

15 or more years of professional experience across pharma/life sciences, AI/ML product strategy, and product management or strategy roles in technology-led organizations
Track record of taking at least one technology or AI initiative from problem framing through executive funding and into delivery
Hands-on work with pharma market research and competitive intelligence data foundations, including taxonomy, ontology, metadata management, common data model design, or KPI frameworks, applied to third-party data sets such as IQVIA or Komodo
Track record of building or specifying knowledge graphs and conversational or agentic AI interfaces
Hands-on work with LLMs, agentic systems, digital workers, the ML lifecycle, and data and evaluation patterns, demonstrated through prototyping
Experience operating as an individual contributor without direct reports and influencing engineering and business teams through frameworks and documented decision criteria
Prior responsibility for product management or product strategy, including opportunity sizing, roadmap development, prototyping, and stakeholder alignment
Experience with commercial analytics data landscapes and technology capabilities used to operationalize insights at scale
Direct involvement in analyzing intelligence sources and delivering insights used in business planning or portfolio decisions
Track record of building and maintaining knowledge bases spanning multiple commercial domains
Prior responsibility for aggregating regional market intelligence into national or global insights used for decision-making
Preferred: experience in forward deployed engineering, applied AI, or AI lab/COE roles at a pharma, healthcare, or comparable regulated enterprise
Preferred: background in management consulting, value engineering, or corporate strategy with hands-on technology experience
Preferred: experience navigating GxP, regulatory, and data-governance requirements in pharma AI deployments
Preferred: experience with Reltio, Informatica, Palantir Foundry, Neo4j, Amazon Neptune, or vector search/RAG infrastructure

Benefits

Comp & perks

Annual bonus
Eligibility to participate in share based long term incentive program
Health care and other insurance benefits for employee and family
Retirement benefits
Paid holidays
Vacation
Paid caregiver/parental and medical leave
Comprehensive US employee benefits program