Principal, AI Product Management – Legal & Compliance

GSK

. Hunt for high-value AI opportunities across Legal and Compliance and develop a global AI product portfolio ranked by impact, feasibility, and time-to-value .

Posted 10/26/2026full-timeUnited StatesSenior💰 $177,750 - $296,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI/ML product strategy and management within legal and compliance domains, with a strong focus on quantifying AI value and developing impactful business cases. Proven ability to partner with senior leadership and influence engineering teams to drive measurable AI initiatives.

Highest-signal resume keywords

AI/ML Product StrategyLegal Technology KnowledgeStakeholder AlignmentOpportunity SizingRegulatory Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Initiative DeliveryPrototypingData Evaluation PatternsOpportunity Portfolio ManagementDecision FrameworksContractingLitigationCompliance MonitoringDigital WorkersMachine Learning Lifecycle

Soft Skills

Strategic PartnershipCommunicationInfluencing Without AuthorityChange ManagementProblem Framing

Tools & Technologies

CLMMatter ManagementEDiscoveryHarveyLegoraDigital WorkersAgentic Systems

Industry Keywords

PharmaLife SciencesRegulatory RequirementsData PrivacyProfessional Responsibility StandardsGxPEthical Constraints

About the role

Key responsibilities & impact

Hunt for high-value AI opportunities across Legal and Compliance and develop a global AI product portfolio ranked by impact, feasibility, and time-to-value
Quantify value through business cases covering review hours returned, contract cycle time, outside counsel spend avoided, monitoring coverage, and risk surfaced earlier
Develop domain pattern recognition across legal and compliance workflows
Own the Enterprise AI opportunity portfolio, including in-flight, queued, and de-prioritized opportunities and decision rationales
Make trade-off decisions using frameworks, success metrics, analysis, and recommendations for engineering resource allocation
Reject low-value opportunities with evidence to protect engineering focus
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 opportunities for reuse and platform leverage and work with engineering on reusable capabilities
Design the human-digital split for digital workers performing contract review, drafting, clause extraction, document review, investigation triage, policy queries, and regulatory horizon scanning
Design trustworthy legal AI incorporating privilege preservation, litigation hold, defensible eDiscovery, anti-bribery and corruption, data privacy and residency, and professional responsibility standards
Operate with senior legal and compliance leaders, including the General Counsel, Chief Compliance Officer, practice leads, and legal operations
Build sponsor coalitions securing executive support, data access, and change-management commitment
Communicate AI impact to the executive leadership team and board
Define the value-realization framework for measuring Enterprise AI impact
Run post-mortems and feed learnings into opportunity selection and engagement design
Continuously refine GSK’s investment thesis for AI

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, or close partnership with, legal and compliance work, including contracting, litigation and investigations, compliance monitoring, privacy, or General Counsel’s office advisory work
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 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
Working knowledge of legal technology and related data, including CLM, matter management, eDiscovery, investigation platforms, Harvey, or Legora
Experience identifying AI value in high-judgment, document-heavy work
Working knowledge of legal, regulatory, and ethical constraints on legal AI, including privilege, litigation hold, eDiscovery defensibility, anti-bribery and corruption, data privacy and residency, and professional responsibility standards
Direct involvement partnering with senior legal and compliance leadership to turn priorities into funded, measurable AI or technology programs
Preferred: experience in forward deployed engineering, applied AI, or AI lab/COE roles at pharma, healthcare, or comparable regulated enterprises
Preferred: background in management consulting, value engineering, or corporate strategy with hands-on technology experience
Preferred: experience navigating GxP, regulatory, and data-governance requirements in pharma AI deployments
Preferred: experience codifying product management and user research practices into AI-native tools and using the command line to automate daily work

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 US employee benefits program
Accommodation or other assistance to apply, if required