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GSK

Senior Product Manager, AIML

GSK

. Lead end-to-end development of AI-driven products from ideation through launch .

Posted 10/26/2026full-timeUpper Providence • Pennsylvania • United StatesSenior💰 $127,050 - $211,750 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in leading AI-driven product development, translating business strategies into actionable plans, and managing stakeholder relationships. Proficient in applying Agile practices and ensuring adherence to data governance standards within the healthcare sector.

Highest-signal resume keywords
AI Product DevelopmentData-Driven Decision MakingStakeholder Relationship ManagementAgile PracticesSoftware Engineering Best Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI Product Goals DefinitionData Requirements StrategyCodingSoftware EngineeringAgentic Framework IntegrationClinical ApplicationsMachine LearningCellular ImagingSpatial BiologyProcess Improvement
Soft Skills
Clear CommunicationTeam EngagementInfluencingNegotiationMotivating Teams
Certifications & Qualifications
Advanced Degree in Pharma/Drug Discovery
Industry Keywords
HealthcarePharmaDrug DiscoveryChange ManagementMatrix OrganizationProduct Delivery LifecycleEthicsGovernance ProcessesQuality StandardsPatient Outcomes

About the role

Key responsibilities & impact
  • Lead end-to-end development of AI-driven products from ideation through launch
  • Define AI product goals, objectives, product rationale, and success metrics
  • Translate broader delivery and data strategy into executable plans
  • Collaborate with internal and external technical teams, senior leaders, cross-functional teams, and stakeholders
  • Use analytical skills, software engineering best practices, coding, and agentic framework integration to drive product development
  • Maintain product focus through clear communication on goals, timelines, and deliverables
  • Apply Agile practices, inspection, adaptation, and continuous improvement
  • Represent the customer or user through discovery and by addressing unmet needs
  • Define and drive data requirements and strategies for sequencing model development
  • Manage the AI Risk register and uphold GSK data governance standards
  • Ensure adherence to planning, reporting, ethics, and governance processes
  • Deliver AI/ML platforms aligned with GSK’s broader delivery strategy and healthcare mission

Requirements

What you’ll need
  • Experience translating business strategy into actionable plans, including setting objectives and delegating work to team members
  • Experience making data-driven decisions balancing speed, quality, and risk
  • Experience leading and managing team performance within a matrix organization
  • Experience delivering projects or programs to defined quality standards and timelines
  • Experience leading change initiatives across a matrix organization
  • Experience supporting team engagement and performance during high workload or organizational change
  • Experience sharing knowledge and best practices with internal and external colleagues
  • Experience building and managing internal and external stakeholder relationships
  • Advanced degree and/or practical job-related experience in pharma/drug discovery and machine learning preferred
  • Deep expertise in a basic science such as Biology, Chemistry, Physics, or Math preferred
  • Expertise in cellular imaging or spatial biology preferred
  • Experience in clinical, late-stage applications and patient outcomes preferred
  • Experience with software product management and delivery cycles preferred
  • Experience with coding, software engineering, and agentic architectures preferred
  • Ability to influence, communicate, and negotiate with all management levels across functional and business unit boundaries preferred
  • Experience organizing and motivating multidisciplinary matrix teams preferred
  • Understanding of process improvement and change management across the product delivery lifecycle preferred

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
  • Flexible blend of remote and on-site work
  • Comprehensive US employee benefits program