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Staff Director, Commercial Enterprise Product Management – E2E Marketing Enablement
GSK. Own a major slice of GSK Enterprise AI’s marketing enablement opportunity portfolio across marketing automation, content supply chain and assembly, marketing experience, campaign management, and performance measurement .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in AI/ML product strategy and senior product management within the pharma/life sciences sector, with a strong focus on marketing enablement and performance measurement. Capable of translating complex business problems into actionable strategies while ensuring compliance with regulatory standards.
Highest-signal resume keywords
AI/ML Product StrategyPharma Marketing EnablementPerformance MeasurementData AnalysisChange 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
LLMsMachine Learning LifecycleContent Supply ChainCampaign ManagementProduct RoadmappingStatistical AnalysisUser Needs AnalysisContent Lifecycle IntegrityPrototypingPerformance Analysis
Soft Skills
Stakeholder AlignmentLeadership Through InfluenceCommunication
Tools & Technologies
AI PlatformsDigital WorkersML PlatformsCLIAutomation Tools
Industry Keywords
PharmaLife SciencesRegulatory ComplianceGxPData Governance
Tech Stack
Tools & technologiesAssembly
About the role
Key responsibilities & impact- Own a major slice of GSK Enterprise AI’s marketing enablement opportunity portfolio across marketing automation, content supply chain and assembly, marketing experience, campaign management, and performance measurement
- Identify, size, and shape high-value AI opportunities
- Build structured opportunity pipelines ranked by impact, feasibility, and time-to-value
- Quantify value and build business cases for finance and senior business-unit scrutiny
- Shape domain-level opportunity portfolios and make evidence-based trade-off recommendations
- Partner with forward deployed, full-stack, and data engineering leads to scope and steer engagements end-to-end
- Translate ambiguous business problems into problem statements, prototypes, success metrics, and decision frameworks
- Define engagement scope, success criteria, exit conditions, and scaling pathways
- Identify reusable capabilities and platform leverage
- Design the division of work between engineers, digital workers, and business users, including hand-offs, escalation, evaluation, and oversight
- Align VP-level business and scientific leaders and build sponsor coalitions
- Secure data access, change-management commitment, and executive support
- Communicate AI impact in terms of patients, science, and enterprise outcomes
- Apply and improve Enterprise AI’s value-realization framework
- Run post-mortems and feed lessons into opportunity selection and engagement design
- Shape at least two flagship engagements per year
- Set forward-deployed strategy for at least one bionic pod and improve engagement hit-rate
Requirements
What you’ll need- 10+ years of progressive experience spanning pharma/life sciences, AI/ML product strategy, and senior product management or strategy roles in technology-led organisations
- Track record of identifying, scoping, prototyping, and shepherding high-value technology or AI initiatives from problem framing through funding into delivery
- Strong working knowledge of pharma or regulated-industry marketing enablement, including content supply chain, marketing automation, HCP-facing experience, content assembly, campaign management, channel activation, and performance measurement
- Solid technical fluency in LLMs, agentic systems, digital workers, ML lifecycle, data, and evaluation patterns
- Experience operating as a senior individual contributor and leading through influence
- Product management or product-strategy heritage including discovery, opportunity sizing, roadmap shaping, prototyping, and stakeholder alignment
- Experience building workflows for creative asset development and content submission, including MLR/MAC readiness
- Working knowledge of content lifecycle integrity and traceability
- Experience with omnichannel campaign execution and performance measurement
- Fluency navigating GxP, regulatory, and data-governance constraints
- AI/ML conceptual fluency sufficient to challenge engineers and scope realistically
- Data and evaluation-design judgment
- Comfortable with CLI and daily automation activities
- Experience with AI Platforms, Change Management, Data Analysis, Feature Prioritization, Machine Learning Model Management, ML Platforms, Model Evaluation, Performance Analysis, Product Delivery, Product Design, Product Lifecycle Management, Product Roadmapping, Roadmap Development, Statistical Analysis, and User Needs Analysis
Benefits
Comp & perks- Annual bonus
- Share-based long-term incentive program eligibility
- Health care and other insurance benefits for employee and family
- Retirement benefits
- Paid holidays
- Vacation
- Paid caregiver/parental and medical leave
- Agile working culture and flexibility
- Relocation support provided