Hybrid AI Adoption Lead – Pharma & Life Sciences

Cpl Life Sciences; Reading; Hybrid; GBP 50,000 - 83,000; Part time

Job summary

CPL Life Sciences is seeking an experienced AI Adoption Manager to drive the rollout, engagement, and delivery of AI initiatives across a global Pharmaceutical R&D organisation. The role focuses on awareness, adoption, and governance within a hybrid delivery environment.

The ideal candidate will have pharmaceutical or life sciences experience, a background in AI adoption or change management, and strong stakeholder engagement with senior leaders. This is a hybrid role based in Reading.

Qualifications

• Experience in Pharmaceutical or Life Sciences industry.
• Experience with Data, Analytics, AI or Technology-led programmes.
• Strong stakeholder management with senior leaders.
• Experience in Agile or Hybrid delivery environments.

Responsibilities

• Support the delivery and adoption of Data Science & AI initiatives across the R&D organisation.
• Coordinate portfolio activities, planning cycles, prioritisation, and dependencies.
• Partner with leadership to ensure transparency and effective decision-making.
• Drive stakeholder engagement and communications for AI adoption.
• Collaborate with project teams, product owners, SMEs, and stakeholders to improve delivery.
• Help develop governance processes and operating frameworks.
• Facilitate workshops and engagement sessions across the business.
• Gather feedback to identify capability gaps and support AI enablement.
• Provide structure and operational excellence in a fast-moving AI environment.

Skills

Stakeholder management

Agile delivery

Communication

Project coordination

Change management

Job description

CPL Life Sciences is seeking an experienced AI Adoption Manager to drive the rollout, engagement, and delivery of AI initiatives across a global Pharmaceutical R&D organisation. The role focuses on awareness, adoption, and governance within a hybrid delivery environment.

The ideal candidate will have pharmaceutical or life sciences experience, a background in AI adoption or change management, and strong stakeholder engagement with senior leaders. This is a hybrid role based in Reading.