[Hiring] Enterprise AI Lead @IRIS

Role Description

As the Enterprise AI Lead , you will be the business-facing owner for enterprise AI enablement across IRIS, ensuring tools such as Claude and Microsoft Copilot are deployed, governed and adopted in a safe, measurable and value-led way.

• Review new enterprise AI technologies and features.
• Manage controlled deployment across the organisation.
• Translate capability into practical education, engagement and business adoption.
• Own central configuration and governance for enterprise AI platforms.
• Ensure AI usage is secure, compliant, cost-controlled and aligned to IRIS standards.
• Drive the AI Champions network to build confidence and increase engagement.

Key Responsibilities

• Own the enterprise AI toolset from a Group IT perspective, including Claude, Microsoft Copilot, Agent Studios, MCPs, approved connectors and associated configuration standards.
• Review new enterprise AI technologies, platform features and releases, assessing suitability, risk, value and readiness for controlled deployment across IRIS.
• Define, maintain and govern central configuration standards for enterprise AI platforms.
• Create and operate standards for department-created agents, including ownership, data boundaries, approval requirements, testing, documentation, monitoring and lifecycle management.
• Own the governance framework for MCPs, connectors and integrations.
• Work closely with Security and Data Protection to ensure AI controls, data handling, permissions and risk decisions are properly owned, tracked and challenged.
• Partner with ITAM, Finance and Procurement to govern FinOps activity for enterprise AI.
• Drive business enablement through education, guidance, playbooks, showcases, office hours and accessible material.
• Lead and energise the AI Champions network.
• Translate business requirements into safe and supportable AI solutions.
• Maintain clear documentation, knowledge articles, governance artefacts, decision logs and communication material for AI platforms and standards.
• Measure and communicate adoption, engagement, usage patterns, cost, risks, issues and realised value to IT leadership and business stakeholders.
• Act as a positive, credible and pragmatic voice for enterprise AI.

Qualifications

• Qualified to A level standard or equivalent, or able to demonstrate relevant industry experience in enterprise technology, digital workplace, AI enablement or governance.
• Strong understanding of Microsoft 365, Microsoft Copilot and enterprise productivity tooling is highly desirable.
• Experience with Claude, AI platforms, agent tooling, connectors, integration governance or similar enterprise AI capabilities would be beneficial.
• ITIL, project delivery, product ownership, security, data protection or governance qualifications would be advantageous.

Knowledge & Experience

• Experience deploying or governing enterprise technology platforms across a complex organisation.
• Strong understanding of AI adoption, enablement, change management and safe experimentation within a business environment.
• Working knowledge of Microsoft Copilot, Claude, AI agents, Agent Studios, MCPs, connectors or integration-led productivity tooling.
• Experience defining standards, controls, documentation and operational processes for technology platforms.
• Understanding of data protection, security, access control and risk considerations linked to AI usage and enterprise integrations.
• Ability to work with ITAM, Finance and Procurement to manage licensing, renewals, budgets, cost control and usage governance.
• Experience building stakeholder confidence through education, guidance, communications, workshops and community networks.
• Ability to influence technical and non-technical stakeholders.
• Experience measuring adoption, engagement, risks, costs and value using clear reporting and practical management information.

Key Competencies

• Clear, confident communicator who can make AI practical, safe and exciting for colleagues at all levels.
• Strong governance mindset with the judgement to balance innovation, risk, data protection, security and operational control.
• Positive change agent who can build momentum, remove blockers and create confidence in new ways of working.
• Excellent stakeholder management, with the ability to challenge constructively.
• Commercially aware, with a strong focus on adoption, value, FinOps discipline and cost control.
• Structured and detail-oriented, able to create standards, documentation, decision records and repeatable operating models.
• Curious and pragmatic, able to assess emerging AI capabilities without losing sight of business value and user experience.
• Collaborative, energetic and credible, with the ability to lead networks and influence without always relying on formal authority.

Benefits

• Your work will influence millions globally.
• Continuous learning and career development opportunities.
• A culture that celebrates diversity and empowers every individual.

What to expect from our hiring process

• Application review — we assess your experience and potential.
• Initial call — a short conversation to learn about you and share more about the role.
• Skills assessment — tailored to the position, e.g. case study, coding challenge or portfolio review.
• Final interview — meet the team and explore how you'll make an IMPACT at IRIS.