AI Programme Manager

If you are an experienced Programme Manager with proven capabilities of delivering AI projects we have a new role we would like to discuss with you.

Please note this role requires onsite attendance twice a week and has been deemed OUTSIDE IR35.

Overview:

The client is seeking a specialist — not a generalist. They require individuals who combine AI expertise, project management capability, and strong business acumen. The ideal candidate will be a subject matter expert (SME) who has successfully delivered complex AI or data-driven programmes from end to end.

Reporting Line:

The role will report directly to the Transformation Director, with the CEO actively involved in the interview and selection process.

Candidates should demonstrate:

• Several years of experience in relevant roles such as project management, product management, or operations management.
• Consideration will also be given to data professionals who can show strong communication and stakeholder engagement skills.

AI Expertise

Candidates should have hands-on experience in data and AI, ideally having worked as a data analyst or data scientist.

They should demonstrate:

• A solid grasp of AI technologies, data processing, and the AI lifecycle.
• Proficiency with SQL and cloud-based systems (e.g., AWS, Azure, GCP).

Core Responsibilities

Programme Management

• Lead cross-functional teams to deliver AI/ML programme objectives on time and within budget.
• Develop and manage programme plans, budgets, and timelines, ensuring alignment with individual project goals.
• Ensure data assets and models are discoverable and reusable across multiple initiatives.
• Track programme performance, manage risks, and remove delivery roadblocks.

AI/ML Delivery & Agile Leadership

The AI Programme Manager will:

• Drive continuous improvement of AI/ML development processes across the organisation.
• Ensure Agile ceremonies (stand-ups, sprint planning, reviews, retrospectives) are run effectively.
• Remove impediments and protect delivery teams (data scientists, engineers, analysts) from unnecessary distractions.
• Coach teams on Agile principles and frameworks such as Scrum, Kanban, and Data Driven Scrum.
• Act as a servant leader, supporting both the well-being and professional growth of team members as they integrate into the programme.