Senior Manager, Digital & AI Delivery

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Senior Manager, Digital & AI Delivery

The Senior Manager, Digital and AI Delivery - Catalyst, reporting to the Director, Technical & AI Solutions, provides leadership and delivery assurance for digital and AI-enabled capabilities across the Catalyst programme. The role translates programme priorities into executable delivery plans, coordinates multidisciplinary teams and partners, and ensures solutions are delivered with appropriate governance, quality, security, operational readiness and responsible AI controls.

The role works across technology, data, architecture, quality assurance and business stakeholders to manage dependencies, resolve delivery obstacles and provide clear visibility of progress, risks, costs and decisions. It supports the Director in evolving the Catalyst delivery capability and operating model, while promoting scalable, reusable and sustainable digital and AI services.

• Lead day-to-day delivery of digital and AI-enabled capabilities within Catalyst, from mobilisation through release and transition into support.
• Translate agreed programme, product and technology priorities into integrated delivery plans, milestones, dependencies and decision points.
• Apply and strengthen delivery governance, controls and reporting, ensuring material risks, issues and decisions are visible and escalated promptly.
• Provide delivery assurance across internal teams and third-party partners, challenging plans and evidence constructively where required.
• Embed responsible AI assessment, governance, security, privacy, data and assurance requirements into planning, design, testing and release readiness.

• Coordinate product owners, business analysts, architects, engineers, data specialists, QA, service management, change and adoption, and vendors around shared outcomes.
• Maintain an integrated view of scope, schedule, funding, capacity, dependencies and readiness across digital and AI work streams.
• Ensure acceptance criteria, test evidence, operational ownership, support arrangements, training and adoption needs are addressed before release.
• Drive resolution of delivery blockers and cross-team dependencies through clear ownership and governance routes.
• Support disciplined release planning and transition, including hypercare, benefits tracking and lessons learned.

• Ensure AI use cases have a defined business outcome, accountable owner, suitable data, proportionate human oversight and measurable success criteria.
• Coordinate required architecture, cyber security, privacy, legal, risk and responsible AI reviews.
• Ensure model, prompt, workflow and integration testing is proportionate to risk and includes quality, reliability, safety, security and user acceptance considerations.
• Promote reusable digital services, patterns, components and delivery practices that improve scalability and reduce duplication.
• Monitor emerging delivery practices and technologies, translating relevant developments into practical recommendations for Catalyst.

• Lead and support multidisciplinary delivery teams, reinforcing accountability,…