AI Transformation Lead

• Lead the technical strategy for Microsoft 365 Copilot and enterprise AI capabilities.
• Define standards, governance frameworks and best practices for AI adoption across the organisation.
• Evaluate emerging Microsoft AI technologies and determine how they can deliver measurable business value.
• Design reference architectures and reusable patterns for Copilot, Copilot Studio and the wider Power Platform.
• Drive the development of secure, scalable AI-powered solutions using Microsoft technologies.
• Support end-to-end solution delivery, from architecture and data readiness through to deployment and integration.
• Review solution designs to ensure alignment with enterprise architecture, security and compliance requirements.
• Lead proof-of-concepts and technical innovation initiatives to assess new AI capabilities.
• Work closely with architecture, engineering, security and business stakeholders to deliver practical AI solutions that improve productivity.
• Act as the subject matter expert for Microsoft AI technologies, providing technical leadership across multiple teams., * Play a leading role in shaping enterprise AI strategy.
• Work with the latest Microsoft AI technologies as they evolve.
• Influence technical direction across a large-scale organisation.
• Join a collaborative technology function investing heavily in AI and digital transformation.
• Opportunity to make a tangible impact on how thousands of employees leverage AI in their day-to-day work.

Are you passionate about shaping how AI is adopted across a large enterprise? Our client is looking for an experienced AI Lead to drive the technical direction of Microsoft 365 Copilot and AI technologies, helping transform the way employees work while ensuring security, governance and scalability remain at the forefront., * Strong experience with the Microsoft 365 ecosystem, including Microsoft 365 Copilot and Copilot Studio.

• Experience designing enterprise AI solutions and intelligent automation using the Microsoft stack.
• Deep understanding of Microsoft Graph, Power Platform, Microsoft Fabric and Entra ID.
• Hands-on experience with Power Apps, Power Automate and Power BI.
• Knowledge of Large Language Models (LLMs), prompt engineering and responsible AI principles.
• Experience preparing enterprise data for AI, including governance, permissions and content lifecycle management across SharePoint, Teams, OneDrive and Dataverse.
• Understanding of Microsoft security, compliance and identity controls.
• Ability to influence technical strategy and engage effectively with both technical and non-technical stakeholders.
• Experience delivering AI solutions within a large enterprise or highly regulated environment would be highly advantageous.