Pharma R&D Data Strategy & AI Advisory Lead

Pharma R&D Data Strategy & AI Advisory Lead

Full-Time 72000 - 88000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Shape data and AI strategies for Life Sciences clients, driving transformation in Pharma R&D.
  • Company: Capgemini UK, a leader in consulting and technology services.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on future-ready R&D solutions.
  • Why this job: Make a real impact in Pharma R&D by influencing strategic decisions and guiding innovative solutions.
  • Qualifications: Experience in data strategy, AI, and strong stakeholder engagement skills.

The predicted salary is between 72000 - 88000 Β£ per year.

Capgemini UK seeks a Pharma R&D Data Advisory Lead to shape data, AI, and analytics strategies for Life Sciences clients. You will translate complex research and clinical challenges into practical transformation roadmaps and architectures, driving data governance, interoperability, and value realization across Discovery through Clinical Development.

You will engage senior stakeholders, influence strategic decisions, and guide cross-functional teams to deliver scalable, future-ready R&D solutions.

Pharma R&D Data Strategy & AI Advisory Lead employer: Capgemini

Capgemini is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a hybrid working model, employees enjoy the flexibility of blending office, client site, and home working, while also benefiting from extensive growth opportunities and professional development within the Capital Markets sector. Join us to be part of a team that values governance excellence and empowers you to make a meaningful impact in complex programme environments.

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Contact Details:

Capgemini Recruitment Team

We think you need these skills to ace Pharma R&D Data Strategy & AI Advisory Lead

Data Strategy
AI and Analytics
Data Governance
Interoperability
Stakeholder Engagement
Strategic Decision-Making
Cross-Functional Team Leadership