Staff Director, AI Product Management

GSK

. Hunt for high-value AI opportunities across Global Functions and develop a structured pipeline of AI products ranked by impact, feasibility, and time-to-value .

Posted 10/26/2026full-timeUnited StatesLead💰 $156,000 - $260,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI/ML product strategy and management, with a strong focus on developing business cases, managing AI opportunities, and navigating regulatory requirements. Proven ability to influence cross-functional teams and drive measurable outcomes in technology-led organizations.

Highest-signal resume keywords

AI/ML Product StrategyBusiness Case DevelopmentRegulatory Compliance (SOX, EU AI Act)Stakeholder AlignmentPrototyping and Decision Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Opportunity IdentificationPrototypingOpportunity SizingRoadmap DevelopmentData Evaluation PatternsML LifecycleDigital WorkersAgentic SystemsCommand Line AutomationProduct Management

Soft Skills

Strategic PartnershipInfluencing Without AuthorityCommunicationChange ManagementProblem Framing

Tools & Technologies

SAPWorkdayAribaCoupaCLM ToolsCase Management ToolsKnowledge Tools

Industry Keywords

PharmaLife SciencesGlobal FunctionsGxPData GovernanceLegal & ComplianceFinanceHRCorporate CommunicationsProcurement

About the role

Key responsibilities & impact

Hunt for high-value AI opportunities across Global Functions and develop a structured pipeline of AI products ranked by impact, feasibility, and time-to-value
Build rigorous business cases covering cycle time, cost-to-serve, risk reduction, hours returned, and spend under management
Develop domain pattern recognition across functional workflows and identify unarticulated AI opportunities
Shape and maintain the Global Functions opportunity portfolio and feed it into the broader Enterprise AI portfolio
Make trade-off recommendations, define success metrics, run analysis, and recommend resource allocation
Push back on opportunities that will not produce scalable outcomes
Partner strategically with 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 platform leverage and reusable capabilities
Design the human-digital split and define evaluation and oversight processes
Build SOX, financial, legal, privacy, works council, anti-bribery, disclosure, and EU AI Act requirements into solutions
Operate with VP-level business and functional leaders to create fundable AI engagements
Build sponsor coalitions and secure data access and change-management commitment
Communicate AI impact in terms of patients, science, and enterprise outcomes
Apply and improve the Enterprise AI value-realization framework
Run post-mortems and feed learnings into opportunity selection and engagement design

Requirements

What you’ll need

10 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 funding and into delivery
Direct involvement in or close partnership with at least one Global Function, including Legal & Compliance, HR, Finance, Corporate Communications, or Procurement
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
Prior responsibility for 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
Working knowledge of enterprise systems and data behind Global Functions, such as SAP, Workday, Ariba or Coupa, CLM tools, and case management or knowledge tools
Track record of identifying AI value in high-volume, knowledge-intensive work
Working knowledge of control and regulatory constraints on AI, including SOX and financial controls, legal privilege and confidentiality, employee data privacy and works councils, anti-bribery and third-party due diligence, disclosure obligations, and EU AI Act high-risk categories
Direct involvement in partnering with senior functional leaders to turn transformation priorities into funded, measurable AI programs
Experience working across more than one Global Function is a plus
Experience navigating GxP, regulatory, and data-governance requirements in pharma AI deployments is a plus
Experience codifying product management and user research practices into AI-native tools and using the command line to automate daily work 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 leave
Paid medical leave
Accommodation or other assistance to apply