Senior Director, R&D AI & Technology Adoption

GSK•Upper Providence, PA

2d•$203,775 - $339,625•Hybrid

About The Position

R&D Tech Transformation & Operations connects strategy, investment and delivery across priority R&D technology programmes. The team works with scientific, technology and business leaders to strengthen decisions, accelerate value and support consistent adoption across R&D. This role will shape how R&D adopts AI and technology so that new capabilities deliver measurable value and lasting changes in how people work. You will help establish and may lead a small, hands-on R&D technology adoption capability. The role combines strategic leadership with direct delivery, including cross-R&D initiatives, practical adoption methods and evidence-based value measurement. You will also help establish a hub-and-spoke model that enables local teams to adapt change approaches to their scientific context. For candidates seeking to be located at our Stevenage site, this role will temporarily be based at Stevenage. However, the Company plans to relocate its offices to Cambridge, UK. The location of this role will therefore subsequently change to Cambridge, UK in accordance with timelines to be set by the Company. The relocation is currently proposed to take effect by early 2029.

Requirements

Extensive experience leading enterprise technology adoption, organisational change or digital transformation in a large pharmaceutical R&D environment.
Demonstrated delivery of AI, digital tools, data platforms, or technology adoption and behaviour change, not solely advisory or methodology development.
Experience creating and executing change strategies across multiple functions, business areas or geographies.
Strong understanding of how new technology changes business processes, roles, capabilities and ways of working.
Experience setting adoption measures and using data to assess progress, outcomes and value realisation.
Proven ability to lead cross-functional projects and influence senior stakeholders without relying on formal authority.
Strong communication, facilitation and problem-solving skills, with the ability to make complex topics practical.
Evidence of operating as a hands-on contributor while providing strategic direction in an ambiguous environment.

Nice To Haves

Previous line-management experience, ideally within a small expert team, alongside strong matrix leadership.
Experience establishing or professionalising an internal adoption, change or transformation capability.
Change-management, project-management or related professional certification.
Learning and development, capability academy or workforce upskilling experience.
Management consulting experience combined with in-house corporate delivery.
Ability to contribute to strategic analysis and projects beyond the core adoption discipline.

Responsibilities

Shape and lead the R&D approach to AI and technology adoption, connecting behaviour and process change with measurable value.
Build and lead a small internal adoption capability while remaining a hands-on contributor to priority projects.
Establish a hub-and-spoke model that coordinates cross-R&D adoption while enabling departments to address local needs.
Partner with priority technology programmes to assess adoption plans, identify gaps and ensure capable delivery teams are in place.
Lead adoption for technologies and ways of working that span R&D, including enterprise productivity tools, data platforms and major cross-R&D transformation programmes.
Define clear adoption roadmaps covering stakeholder alignment, readiness, communications, capability building, process change and reinforcement.
Develop practical, reusable methods and tools that improve consistency without creating unnecessary bureaucracy.
Define measures that connect adoption, behaviour and process change to programme outcomes and value.
Advise on the right balance of internal capability and external consulting support, and strengthen internal ownership over time.
Influence senior R&D, scientific and technology leaders, keeping adoption and change visible in portfolio and investment decisions.
Support adjacent strategic work when required, applying analytical and project leadership skills beyond a narrow change-management remit.