Principal, Senior Director – Commercial Enterprise AI Product Management, E2E Marketing Enablement

GSK

. Hunt for high-value AI opportunities across the end-to-end marketing enablement lifecycle .

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 solutions and measurable outcomes. Proven ability to lead cross-functional teams and engage with senior stakeholders to drive AI initiatives from conception to execution.

Highest-signal resume keywords

AI Product StrategyPharma Marketing EnablementStakeholder AlignmentOpportunity SizingRegulatory Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML ConceptsPrototypingContent Lifecycle ManagementPerformance MeasurementDecision FrameworksOpportunity Portfolio ManagementBusiness Case DevelopmentSuccess Metrics DefinitionTrade-off AnalysisOmnichannel Strategy Execution

Soft Skills

InfluencingCommunicationCollaborationStrategic ThinkingChange Management

Tools & Technologies

Veeva Vault PromoMatsAdobe Experience ManagerSalesforce Marketing CloudMLR Review PlatformsOmnichannel Engagement Tools

Industry Keywords

PharmaLife SciencesGxPRegulatory RequirementsData Governance

Tech Stack

Tools & technologies

AEMCloudVault

About the role

Key responsibilities & impact

Hunt for high-value AI opportunities across the end-to-end marketing enablement lifecycle
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 in end-to-end marketing enablement workflows
Own the Enterprise AI opportunity portfolio and maintain a living view of opportunities and prioritization rationale
Make trade-off calls by defining success metrics, running analysis, and recommending engineering resource allocation
Evaluate and reject opportunities that will not produce scalable outcomes
Act as strategic counterpart to forward deployed, full-stack, and data engineering leads
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 opportunities for reuse and platform leverage and work with engineering to develop reusable capabilities
Design the human-digital split, including task ownership, human oversight, evaluation, and safety
Run executive conversations with senior business and scientific leaders
Build sponsor coalitions to secure support, data access, and change-management commitment
Communicate impact to ELT and the board in terms connected to patients, science, and shareholder outcomes
Define Enterprise AI's value-realization framework
Run post-mortems and feed learnings into opportunity selection and engagement design
Continuously refine the investment thesis for AI opportunities at GSK

Requirements

What you’ll need

15 or more years of professional experience across some combination of 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
Direct involvement in pharma marketing enablement, including brief development, global-to-local content adaptation, content supply chain, MLR review, channel activation, or performance measurement
Hands-on work with modern AI/ML concepts, including 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
Background in product management or product strategy, including opportunity sizing, roadmap development, prototyping, and stakeholder alignment
Experience coordinating creative asset development and content submission workflows, including MLR readiness, to enable deployment across channels
Track record of translating omnichannel strategy into execution briefs for content and channel delivery teams
Direct involvement in partnering with internal MLR review processes and external agency or production partners on digital program delivery
Working knowledge of content lifecycle traceability processes linking derivative content to its approved source
Prior experience in forward deployed engineering, applied AI, or AI lab/COE role at a pharma, healthcare, or comparable regulated enterprise is a plus
Background in management consulting, value engineering, or corporate strategy with hands-on technology experience is a plus
Experience navigating GxP, regulatory, and data-governance requirements in pharma AI deployments is a plus
Experience with marketing technology platforms such as Veeva Vault PromoMats/MedComms, Adobe Experience Manager or Workfront, Salesforce Marketing Cloud, MLR review platforms, or omnichannel engagement/analytics tools is a plus

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 benefits program