AI Platform Lead

We are looking for an AI Platform Lead (working in a Platform-as-a-Product model) to shape and continuously improve MO’s AI platforms and capabilities. This role ensures colleagues have secure, compliant, and high-value AI tools that enable productivity and innovation across the business. You will manage our AI platform as a product by defining standards, setting direction for the tooling and feature pipeline, and delivering measurable outcomes that support safe, scalable and well-governed AI adoption.

Key Accountabilities

• Strategic Alignment of the Tooling and Feature Pipeline - Understand business needs, assess new capabilities, and prioritise a clear pipeline of high-value AI tools and features aligned to enabling MO’s strategic goals.
• Solution Standards and Guardrails - Define the design and build expectations for AI solutions so teams follow consistent, safe, and approved approaches.
• Route to Production and Self-Service Enablement - Maintain a consistent path for developing, testing, and deploying AI solutions, enabling safe self-service and ensuring solutions transition smoothly into production.
• Governance, Compliance and Risk Management - Apply and maintain governance controls, support assurance processes, manage environment and access policies, and ensure visibility of all AI tools and solutions to minimise organisational risk.
• AI Platform Operations and Monitoring - Monitor the health, performance, and consumption of AI environments, investigate anomalies, take corrective action, and maintain clear reporting on utilisation, cost drivers, and risks.
• Value Tracking, Insights and Reporting - Measure usage and impact of AI capabilities, analyse trends, and produce insights and reporting that demonstrate value delivered and highlight optimisation opportunities.
• Colleague Enablement and Support - Act as a subject matter expert for L&D and business teams, providing guidance and insights that inform training and best-practice materials, and supporting colleagues in adopting AI confidently and responsibly.
• Cross-Business Collaboration - Build strong relationships across MO and contribute to the AI Working Group to ensure alignment, transparency, and consistent adoption of AI capabilities.
• Vendor and Roadmap Coordination - Monitor vendor updates, support licensing and renewal planning with accurate utilisation data, and coordinate with suppliers and internal teams to prepare for upcoming features and changes.

• You are naturally curious about AI and emerging technologies and stay informed about new capabilities and risks.
• You look outward as well as inward, bringing external insight to help shape MO’s approach to AI.
• You communicate clearly and professionally, translating technical or governance concepts into practical guidance.
• You balance colleague needs with wider requirements such as governance, security and business value, and can identify and manage the trade-offs between them.
• You take ownership, work proactively and see tasks through to completion.
• You build strong working relationships and collaborate well across teams.
• Platform or Product Ownership - Experience managing a digital platform or internal product, ideally with responsibilities across roadmap planning, governance, user enablement, and outcome measurement.
• Working with AI, Automation, or Data-Driven Platforms – Hands-on experience with enterprise AI, automation, or low-code platforms (building, configuring, or governing them), with a strong understanding of how emerging capabilities are adopted safely in an organisation.
• Governance, Compliance and Risk Management - Experience applying governance frameworks, managing access and environment controls, and working with Security, Legal, or Data teams to ensure compliance.
• Designing and Implementing Best-Practice Frameworks - Proven ability to create and maintain standards, guardrails, design patterns, or assurance processes that enable safe self-service at scale.
• Cross-Functional Collaboration - Strong experience working with multiple business areas, technical teams, and stakeholders to align priorities, gather requirements, and coordinate change.
• Operational Monitoring and Insight-Driven…