AI Delivery Lead: End-to-End & Scalable Solutions

Mott MacDonald; Greater London; Hybride; GBP 90 000 - 120 000; Plein temps

Avantages offerts par ce poste

Private medical insurance

Pension contributions match (4.5%–7%)

Flexible benefits programme

Résumé du poste

Mott MacDonald is hiring a Technical Delivery Lead for our Central Digital AI team. This hands-on leadership role combines disciplined delivery management with strong technical understanding to lead multidisciplinary teams delivering AI agents and broader automation solutions.

You will own complex digital and innovation projects end-to-end from concept to scaled deployment, turning pilots into robust, repeatable tools that deliver measurable value. Hybrid working is encouraged.

Qualifications

• Proven experience leading complex digital or innovation projects end-to-end.
• Line manage and mentor delivery leads, setting objectives and providing feedback.
• Experience building AI agents and practical delivery problems solved.

Responsabilités

• Shape opportunities with business users and domain experts to define desired outcomes.
• Lead from concept to scale through discovery, design, build, test, deployment and adoption.
• Coordinate multidisciplinary teams across delivery, data science, software, engineering and design.
• Assure adoption, testing, training and handover for sustained operations.

Connaissances

Leadership

Delivery management

AI delivery

Project governance

Stakeholder management

Team leadership

Low-code vs pro-code AI

Technical fluency (APIs, cloud, data)

Outils

Azure AI

Copilot Studio

Power Platform

Azure

APIs

Description du poste

Mott MacDonald is hiring a Technical Delivery Lead for our Central Digital AI team. This hands-on leadership role combines disciplined delivery management with strong technical understanding to lead multidisciplinary teams delivering AI agents and broader automation solutions.

You will own complex digital and innovation projects end-to-end from concept to scaled deployment, turning pilots into robust, repeatable tools that deliver measurable value. Hybrid working is encouraged.