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GSK

Director, AI & Technology Transformation

GSK

. Lead comprehensive diagnostics of R&D data journeys, reconstructing end-to-end flows from scientific question to data-driven decision across systems, users, and data .

Posted 11/4/2026full-timeUpper Providence • Pennsylvania • United StatesLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading data strategy and governance initiatives within pharmaceutical R&D, with a strong focus on implementing data management capabilities and facilitating cross-functional collaboration. Proven ability to analyze complex data journeys, synthesize insights, and drive actionable recommendations for organizational transformation.

Highest-signal resume keywords
Data Strategy LeadershipR&D Digital TransformationWorkshop FacilitationBusiness Case DevelopmentData Governance Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills
Data Management ConceptsOrganizational DiagnosticsChange ManagementAnalytical SkillsProcess MappingStakeholder EngagementImplementation DeliveryData Quality AssessmentData IntegrationOutcome Measurement
Soft Skills
Strong CommunicationFacilitation SkillsInfluencing SkillsIndependent WorkAmbiguity Management
Tools & Technologies
R&D Data PlatformsData Governance FrameworksData Discovery ToolsData Access ProcessesData Integration Platforms
Certifications & Qualifications
Change Management CertificationProject Management Certification
Industry Keywords
Pharmaceutical R&DData GovernanceDigital TransformationCross-Functional CollaborationStakeholder Alignment

About the role

Key responsibilities & impact
  • Lead comprehensive diagnostics of R&D data journeys, reconstructing end-to-end flows from scientific question to data-driven decision across systems, users, and data
  • Identify and synthesize pain points across seven data elements, distinguishing journey-specific issues from systemic, enterprise-wide gaps
  • Engage 50+ subject matter experts and core team members across Research, Development, Tech, and AI/ML
  • Define a future-state ambition for priority data-management capabilities
  • Run sessions with R&D leadership and design and facilitate cross-functional workshops
  • Develop and prioritize interventions based on R&D impact, breadth of reuse, and organizational feasibility
  • Build supporting business cases for priority interventions
  • Report progress and recommendations at RDLT level, securing leadership endorsement for the roadmap
  • Take direct ownership of implementation, leading delivery of prioritized interventions through to measurable outcomes
  • Establish workstreams, governance, and ownership structures
  • Identify where existing platforms or initiatives can be leveraged versus where new capabilities are required

Requirements

What you’ll need
  • Significant experience leading data strategy, data governance, or R&D digital transformation initiatives in a pharmaceutical R&D environment
  • Demonstrated experience conducting organizational diagnostics – mapping processes or data journeys, synthesizing pain points, and translating findings into actionable recommendations
  • Proven track record of taking a strategy from design through to implementation and delivery
  • Experience designing and facilitating workshops or working sessions that build alignment across senior stakeholders and subject matter experts (SMEs)
  • Experience developing and delivering change plans that include stakeholder engagement, readiness, communications and capability building
  • Strong analytical skills, with the ability to assess complex, cross-functional problems and develop a structured, prioritized path forward
  • Ability to analyse complex issues, develop practical recommendations and follow through to implementation
  • Experience developing business cases, including articulating impact, effort, and feasibility trade-offs
  • Working knowledge of data management concepts across data quality, ontology, governance and ownership, data discovery, access and authorization, data integration and platforms, and data products
  • Strong communication, facilitation and influencing skills across technical and non-technical stakeholders
  • Ability to work independently, manage ambiguity and contribute beyond a narrowly defined change-management remit
  • Experience defining measures for adoption, outcomes or value realisation and using data to inform decisions
  • Experience with R&D data platforms preferred
  • Background in management consulting combined with in-house strategy and transformation delivery implementation preferred
  • Change-management, project-management or related professional certification preferred
  • Experience building and leading cross-functional core teams or workstreams through to delivery preferred
  • Familiarity with data governance frameworks, IHD/consent-related data access processes, or regulatory data considerations preferred
  • Experience managing delivery-focused teams or programs with direct accountability for outcomes preferred
  • Learning, capability-building or workforce upskilling experience preferred
  • Must describe how you meet the competencies in the cover letter or CV

Benefits

Comp & perks
  • Competitive salary
  • Annual bonus based on company performance
  • Healthcare and wellbeing programmes
  • Pension plan membership
  • Shares and savings programme
  • Hybrid working model
  • Annual bonus
  • Eligibility to participate in share based long term incentive program
  • Agile working culture and flexibility opportunities