Staff Director, Commercial Enterprise Product Management – E2E Marketing Enablement

GSK

. Own a major slice of the marketing enablement opportunity portfolio across marketing automation, content supply chain and assembly, marketing experience, campaign management, and performance measurement .

Posted 10/22/2026full-timeLondon • United KingdomLead💰 $171,600 - $286,000 per yearWebsite

Core Competencies

Role fit

Core 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 and building executive alignment for technology initiatives.

Highest-signal resume keywords

AI/ML Product StrategyPharma/Life Sciences ExperienceMarketing AutomationCampaign ManagementData Analysis

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AI/MLProduct ManagementPrototypingWorkflow DevelopmentPerformance MeasurementStatistical AnalysisMachine Learning Model ManagementContent Lifecycle IntegrityOpportunity SizingFeature Prioritization

Soft Skills

CommunicationStakeholder AlignmentChange ManagementExecutive AlignmentProblem Framing

Tools & Technologies

AI PlatformsDigital WorkersML PlatformsData GovernanceContent Supply Chain

Industry Keywords

Regulated IndustryGxPHCP-Facing ExperienceOmnichannel Campaign ExecutionContent Assembly

Tech Stack

Tools & technologies

Assembly

About the role

Key responsibilities & impact

Own a major slice of the marketing enablement opportunity portfolio across marketing automation, content supply chain and assembly, marketing experience, campaign management, and performance measurement
Identify, size, shape, and prioritize high-value AI opportunities
Build rigorous business cases quantifying cycle-time savings, accelerated decisions, revenue uplift, avoided cost, and scientific productivity
Partner daily with forward deployed, full-stack, and data engineering leads to scope and steer engagements end-to-end
Maintain the domain opportunity portfolio and make evidence-based trade-off recommendations
Translate ambiguous business problems into problem statements, prototypes, success metrics, and decision frameworks
Define engagement scope, success criteria, exit conditions, and scaling pathways
Identify opportunities for reusable capabilities and platform leverage
Design the division of work between engineers, digital workers, and business users, including hand-offs, escalation, evaluation, and oversight
Build executive alignment and sponsor coalitions securing data access and change-management commitment
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
Set forward-deployed strategy for bionic pods and shape at least two flagship engagements per year

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 other 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 modern AI/ML, including LLMs, agentic systems, digital workers, ML lifecycle, data, and evaluation patterns
Experience operating as a senior individual contributor
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 with GxP, regulatory, and data-governance constraints
AI-native skills involving CLI, plugins, and markdown files
Skills in 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, statistical analysis, and user needs analysis

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
Agile working culture and flexibility opportunities