AI-First Product Owner, Clinical Site Ops in London

AI-First Product Owner, Clinical Site Ops in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Gsk

At a Glance

  • Tasks: Lead AI-driven product strategy in clinical trial operations and manage project delivery.
  • Company: GSK, a global leader in healthcare innovation.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on impactful healthcare solutions.
  • Why this job: Shape the future of clinical trials with cutting-edge AI technology.
  • Qualifications: Experience in product ownership and understanding of AI applications.

The predicted salary is between 60000 - 80000 £ per year.

GSK is seeking a Product Owner to lead AI-driven product strategy across site and operations processes in a regulated clinical trial environment.

You will own the backlog, roadmap, and cross‑functional delivery, partnering with business stakeholders and Dev Tech to prioritise investments and ensure timely, compliant delivery.

The role emphasizes applying AI to discovery, analysis, decision‑making and execution, with governance, data quality, and regulatory alignment at the forefront.

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AI-First Product Owner, Clinical Site Ops in London employer: Gsk

GSK is an exceptional employer located in Greater London, offering a dynamic and inclusive work environment that fosters innovation and collaboration. As a Senior FinOps Product Manager, you will have the opportunity to drive impactful projects while benefiting from robust employee growth opportunities and a culture that values diverse perspectives. With a commitment to professional development and a focus on agile methodologies, GSK empowers its employees to thrive in their careers while contributing to meaningful advancements in cloud financial management.

Gsk

Contact Details:

Gsk Recruitment Team

We think you need these skills to ace AI-First Product Owner, Clinical Site Ops in London

Product Ownership
AI-Driven Strategy
Backlog Management
Roadmap Development
Cross-Functional Collaboration
Stakeholder Engagement
Investment Prioritisation