AI Solution Manager

Role Overview

Reporting to the Director of Global IT Infrastructure Operations, the AI Solution Manager is responsible for the delivery and execution of the organization's AI vision across IT.

This role serves as the primary AI delivery resource within the IT function, leading the end-to-end design, deployment, and ongoing management of AI solutions, applications, and agentic workflows across the enterprise.

The AI Solution Manager partners directly with senior leadership and business function leads to translate strategic AI objectives into tangible, measurable outcomes - acting as the nexus between IT, the CIO agenda, and the wider business.

Key Responsibilities

• AI Program Delivery
• Own end-to-end delivery of AI initiatives across the IT organization, operating within the AI Core, AI Delivery, and AI Function towers under CIO sponsorship.
• Lead the planning, execution, and continuous improvement of AI projects, ensuring delivery velocity is maintained across a growing and complex pipeline.
• Manage the portfolio of active AI applications and agentic workflows across multiple platforms, maintaining operational integrity and performance standards.
• Define and track key delivery milestones, risks, and dependencies, providing clear reporting to the Infrastructure Director and senior leadership.
• AI Solution Design & Implementation
• Design and implement AI-powered solutions including custom tools, agentic workflows, internal portals, and intelligent automation spanning Microsoft Copilot, Azure AI, Open AI, Anthropic Claude, and Google Gemini platforms.
• Evaluate and recommend emerging AI technologies and platforms that align with the organization's architecture, governance, and strategic direction.
• Oversee the development and deployment of solutions built on Power Platform and other approved tooling, ensuring scalability, reliability, and security.
• Maintain a hands‑on working knowledge of the AI toolchain to provide technical direction and quality assurance across all delivery workstreams.
• Executive & Senior Stakeholder Engagement
• Act as the primary IT AI interface for senior executives and business function leads across the organization, translating business needs into executable AI strategies.
• Lead AI engagement workshops, discovery sessions, and solution reviews with C‑suite and Director‑level stakeholders.
• Develop and maintain strong relationships across all business functions, ensuring AI delivery is aligned to commercial, operational, and strategic priorities.
• Present program updates, business cases, and delivery outcomes to leadership with clarity and confidence.
• AI Adoption & Organizational Enablement
• Own the AI adoption strategy across the organization's full AI tooling portfolio, including Microsoft 365 Copilot, Anthropic Claude, Google Gemini, and any additional platforms deployed under the AI program.
• Drive adoption momentum across all AI tools by working closely with business function leads, HR, and Communications to embed AI capabilities meaningfully into day‑to‑day workflows.
• Establish and maintain adoption frameworks, usage guidelines, and best practice resources that empower staff to get value from AI tooling without reliance on dedicated training delivery.
• Monitor adoption metrics, utilisation trends, and user feedback across all platforms, identifying blockers and driving targeted interventions to maximise return on AI investment.
• Act as the internal authority on the AI tooling landscape, advising business leads on the most appropriate platform or solution for their specific use case.
• AI Governance, Review & Compliance
• Serve as an active and standing participant in the AI Function governance framework, contributing IT's delivery perspective to organisational AI policy, standards, and oversight decisions.
• Review and assess AI initiatives proposed or in‑flight across all areas of the business, including non‑IT functions, evaluating alignment with the organisation's AI strategy, architectural standards, risk appetite, and compliance obligations.
• Act as a key review authority for new AI engagements across the wider business, providing structured recommendations on platform suitability, data handling, security posture, and ethical AI considerations before initiatives proceed.
• Maintain and evolve documentation, policies, and guardrails governing AI application usage across the enterprise, ensuring standards remain current as the tooling landscape develops.
• Represent IT within cross‑functional AI governance forums, working alongside Legal, Risk, Compliance, and business leads to ensure a joined‑up approach to responsible AI deployment.
• Provide guidance and challenge to business teams pursuing AI‑led initiatives, ensuring proposals are technically sound, strategically aligned, and appropriately governed before escalation to leadership for approval.

Qualifications & Experience

• Bachelor's degree in Information Technology, Computer Science, Business Technology, or equivalent practical experience.
• Minimum 5 years of experience in IT delivery, technology management, or digital transformation roles, with at least 2 years focused on AI or intelligent automation.
• Demonstrable hands‑on experience delivering AI solutions using one or more of: Microsoft Azure AI / Open AI, Anthropic Claude inc.

Claude Code, Google Gemini, or equivalent enterprise AI platforms.

• Strong working knowledge of Microsoft 365 ecosystem including Copilot, Azure and related tooling.
• Proven track record of managing complex, multi‑stakeholder programmes in a commercial enterprise environment.
• Experience working directly with senior executives and business leads, with the ability to navigate political and organisational complexity.
• Familiarity with AI governance, responsible AI principles, and enterprise risk frameworks.
• Experience in global organisations and cross‑functional collaboration is highly desirable.
• Familiarity with ITIL methodologies and IT service management practices is advantageous.
• Key Skills
• Exceptional stakeholder management and executive communication skills — able to engage, influence, and present to C‑suite with confidence.
• Strong commercial awareness, with the ability to connect AI delivery outcomes to business value.
• Technically credible across the AI landscape — comfortable engaging with engineering teams on platform specifics while maintaining strategic oversight.
• Self‑starter with a bias for action; able to operate with ambiguity and drive forward progress in a fast‑moving programme environment.
• Excellent prioritisation and programme management skills across concurrent workstreams.
• Collaborative, resilient, and highly adaptable in a dynamic and evolving technology landscape.
• Strong written and verbal communication skills, with an ability to translate complex AI concepts for diverse audiences.

We are committed to creating a diverse and inclusive workplace.

We welcome applications from all individuals, regardless of race, ethnicity, gender, sexual orientation, age, disability, religion, or any other characteristic protected by law.

We believe in providing equal opportunities for all employees and applicants, and we strive to create an environment where everyone can thrive and contribute to our success.

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