Senior Operations Manager AI​/ML

Senior Operations Manager — AI/ML
12 Month Fixed Term Contract (maternity cover)
Site:
London, The Stanley Building
Posted Date:
Feb 18 2026

At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics and machine learning. We are using Artificial Intelligence (AI) and Machine Learning (ML) to develop new therapies and personalised drugs that drive better outcomes for patients at reduced cost with fewer side effects.

To realise these opportunities in R&D, GSK has created a global Artificial Intelligence and Machine learning group (AI/ML) to focus on the development and application of AI/ML to problems of critical importance  AI/ML group is built on the principles of ownership, accountability, continuous development and collaboration.

The Senior Operations Manager will work within the Clinical Development Operations team in AI/ML. The role will support the Operations Director and partner with Operations, Responsible AI, Engineering and Product teams across the AI/ML group along with key business partners (Risk, Finance, Procurement etc.). Your focus will be on uncovering process improvement opportunities, develop tailored solutions and deploy automation to enhance working methods.

• Serve as a trusted partner to scope, prioritize and execute the most important cross‑functional projects.
• Provide portfolio intelligence and insights to leadership, identifying dependencies, resource constraints and opportunities for operational efficiency.
• Design and implement automation and continuous improvement solutions, leading discovery through to deployment.
• Establish and maintain governance frameworks and documentation, ensuring AI/ML initiatives comply with internal policies and SOPs while minimising operational burden on teams.
• Utilise Agile practices in iterative development, with a strong emphasis on feedback, adaptation and continuous improvement.
• Develop and maintain comprehensive project plans, proactively managing risk and ensuring stakeholder alignment throughout the project lifecycle.
• Collaborate with functional and business risk leads to identify, assess and mitigate risks to AI/ML project delivery.
• Proactively and independently manage a high volume of workload to a consistently high standard, setting ambitious priorities, objectives and measurable targets.
• Evaluate and recommend operational tooling and platforms that enhance team effectiveness.
• Design and implement new ways of working that balance agility with governance requirements in a pharmaceutical R&D context.

• Bachelor’s degree in a relevant field (life sciences, business management, computer science or related).
• A track record of delivery in scientific/operational environments, with strong cross‑functional and matrix working capabilities.
• Comfortable acting as a bridge between technical and business teams by translating complex concepts and technical constraints into clear, accessible language that supports decision‑making and operational planning.
• Demonstrated ability to structure and manage complex projects and develop compelling business cases (articulating both the “what” and the “why”).
• Strong understanding of change management principles with a track record of driving adoption of new processes/systems.
• End‑to‑end technology project management experience (e.g. software development, web app, automation) projects using agile methodologies.
• Proficiency with project management tools (JIRA, Confluence), including development of automation workflows and dashboards.
• Strong ability to influence and build credibility at all organisational levels, particularly with directors to VP‑level stakeholders.

• Master’s or advanced degree in a relevant field.
• Project management certification (PMP, PRINCE2, Agile
  
  PM).
• Experience with AI/ML product development including data management and data governance processes.
• Experience in regulated environments (pharma, healthcare, financial services) with strong understanding of GxP, quality standards and compliance frameworks.
• Track…