AI Delivery Manager

AI Delivery Manager

Artificial Intelligence is transforming the way organisations work, and at Wateswe'rebuilding the capabilities needed to harness that opportunity responsibly, securely and at scale.

We'relooking forandriven and passionate
AI Delivery Manager
to play a critical role in shaping and delivering our AI journey. This is a unique opportunity to helpestablishAI capability across the Group, lead high-profile AI work streams, and ensure solutions deliver real business value for our people and customers.

Working at the intersection of business,technology and change,you'lloversee the successful delivery of AI initiatives from concept through to adoption.

The role will focus on the technical foundations needed to scale AI across Wates, including an agent development framework, governed access to enterprise data sources, an AI development platform for business applications, and practical frameworks that enable deeper AI engagement within our core platforms.

You'll collaborate with senior leaders, technicalteamsand stakeholders across the organisation, helping to turn AI opportunities into tangible outcomes that improve productivity, userexperienceand business performance.

Shaping AI Technical Foundation sand Delivery Approaches

• Define the roadmap, deliveryapproachand success measures for core AI enablement work streams, includingcomplexagent development, data source readiness, AI applicationplatformsand AI integration with core systems.

• Develop andmaintainan agent development framework that sets out the standards, patterns,governance and delivery lifecycle for building agents safely and consistently.

• Work with data, architecture,security and platform teams to make priority enterprise data sources available to the agent framework in a secure,governancerequirementsand user needs.

• Ensure AI initiatives are aligned with wider business objectives, technology architecture, governancerequirementsand user needs.

Leading AI Platform and Framework Delivery

• Take ownership of the delivery and ongoing management of the technical frameworks and platforms needed to scale AI development across Wates.

• Create and manage a development platform for AI-enabled applications, ensuring it provides the right tooling, guardrails,environments and support model.

• Manage delivery plans, milestones, dependencies and risks across assigned AI platform,agentand data enablement work streams.

• Coordinate technical teams, suppliers and business stakeholders to ensure solutions meet security, operational,functional and architectural requirements.

• Drive continuous improvement and ensure standards, patterns and lessons learned are applied across future AI deliveries.

Driving AI Engagement in Core Platforms

• Build out a technical framework that enables greater AI engagement across Wates' core business platforms, moving beyond standalone productivity use cases.

• Work with platform owners toidentifywhere AI agents, AI-enabled workflows or AI applications can improve process execution, decisionsupportand user experience.

• Define engagement, adoption and value measures for AI capabilities embedded into core platforms and business processes.

• Gather feedback from users and platform teams to improve the frameworks, patterns and reusable components that support future AI delivery.

• Support responsible AI adoption by ensuring technical enablement is matched with appropriate controls,guidance and operating practices.

Supporting the AI Programme

• Provide support to the Head of IT andother AI rolesin developing Wates' enterprise AI capability and delivery model.

• Contribute to governance activities, reporting, prioritisation and strategic planning across agent,dataand AI platform work streams.

• Stay current with emerging AI platform, agenticAIand integration capabilities, helpingidentifywhere Wates can gainadditionalvalue.

• Support wider AI initiatives as priorities evolve, whilemaintainingfocus on scalable enterprise capability rather than isolated personal productivity or small-scale development activity.

Experience & Knowledge

• Strong understanding of AI technologies, agentic AI patterns, developmentplatformsand the role of data in enabling enterprise AI solutions.

• Experience delivering…