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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI-driven growth strategies, including the development and deployment of AI/ML features in commercial settings. Proficient in navigating regulatory environments while delivering measurable improvements and communicating effectively with executive stakeholders.
Highest-signal resume keywords
AI/ML Product ManagementLLM-Based ToolingCommercial Growth MechanicsRegulatory Compliance ExperienceAI-Driven Personalization
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 Feature DevelopmentPrompt/Agent DesignRAG ArchitecturesContent GenerationSuccess Metrics DefinitionData Science CollaborationIntake-To-Production ProcessGrowth Metrics AnalysisBias TestingHuman-In-The-Loop Review
Soft Skills
Stakeholder CommunicationTeam DevelopmentCross-Functional CollaborationStrategic Decision-MakingExecutive Briefing
Tools & Technologies
CRM PlatformsCampaign Management SystemsGoverned Production ServicesAI AgentsRecommender Systems
Industry Keywords
PharmaBiotechHealthcareHIPAARegulated Environment
About the role
Key responsibilities & impact- Own the AI-driven growth capabilities roadmap across the HCP and patient funnel
- Define the multi-year applied-AI roadmap for US Commercial and Digital Experience
- Build autonomous and semi-autonomous growth AI agents for creative, targeting, and channel optimization
- Lead AI-driven personalization and dynamic content generation integrated with content, campaign management, and CRM platforms
- Partner with Data Science and ML Engineering to move LLMs, recommender systems, and propensity/NBA models into governed, monitored production services
- Establish responsible-AI guardrails for model risk, HIPAA, data privacy, bias testing, and human-in-the-loop review
- Partner with Medical, Legal, Regulatory, and Compliance on AI use-case intake and MLR-aligned approval processes
- Decide which AI and foundation-model vendors and capabilities to build, buy, or partner for
- Run compliance-approved pilots using commercial growth metrics before portfolio-wide rollout
- Translate between Commercial, Brand, Medical/Legal/Regulatory, Compliance, and Data Science stakeholders
- Brief Commercial executive stakeholders monthly on ROI and opportunities
- Hire and develop a senior team of AI-focused product managers and solutions architects
Requirements
What you’ll need- Bachelor's degree in computer science, engineering, quantitative, or life-sciences
- 10+ years in product management
- At least 2 years shipping AI/ML-powered or generative-AI features into production
- Experience with LLM-based tooling, including prompt/agent design, RAG architectures, or fine-tuning
- Experience applying AI to content generation, personalization, and/or omnichannel orchestration
- Experience with commercial growth mechanics, including brand planning cycles, customer funnel metrics, and market share
- Experience defining success metrics for AI initiatives in commercial terms and using governance and evidence-based criteria to continue, refine, or discontinue initiatives
- Comfort partnering with data science/ML engineering on model evaluation, latency, cost, and monitoring trade-offs
- Advanced degree in computer science, engineering, quantitative, or life-sciences field is a plus
- Pharma, biotech, or healthcare background strongly preferred
- Experience working within a regulated environment
- Experience delivering measurable AI-driven improvements across two or more funnel stages within two quarters of launch
- Experience developing a documented, repeatable intake-to-production process for new AI use cases
- Experience quantifying and communicating AI-driven growth to Commercial executive leadership while maintaining promotional compliance
Benefits
Comp & perks- Comprehensive benefits program for US employees (details provided in GSK US Benefits Summary)
- Hybrid work arrangement with supported remote work
- Accommodation or other assistance available during the application process
