Product Manager AI & Transformation

Salary: £51,322.4 - 59,810.4 per year

• We are looking for an experienced Product Manager with in-house experience, ideally from a start-up environment.
• We need strong proficiency in Azure Dev Ops and SAFe-aligned agile practices.
• We expect experience managing or supporting digital products or platforms through the full product lifecycle, from discovery and requirements through delivery, release, iteration and continuous improvement.
• We require strong product management skills, including roadmap development, prioritisation, backlog management, requirements definition, user story writing, acceptance criteria and delivery coordination.
• We need experience working in agile, product-led or SAFe-aligned environments, including use of Azure Dev Ops or similar tools.
• We require the ability to work with stakeholders and technical colleagues to translate user needs and service challenges into feasible, usable and sustainable product solutions.
• We value understanding of how digital products can be enhanced through data, automation, integration and AI-enabled capabilities while staying grounded in user needs and operational sustainability.
• We need excellent communication and interpersonal skills, with the ability to present product vision, roadmaps, progress, benefits and trade-offs clearly.
• We require experience defining product metrics and OKRs, and knowledge of documentation, training, release planning, communications, support arrangements and operational handover for digital products.
• We value experience managing, supporting or mentoring colleagues and contributing positively to a small, fast-moving multidisciplinary team.
• Desirable: product, agile or project delivery certification or equivalent experience.
• Desirable: experience with AI-enabled services, conversational AI, automation, agentic AI, digital assistants, CRM-enabled workflows or digital products using emerging technologies.
• Desirable: experience working on CRM developments, Microsoft Dynamics 365, case management systems, live chat, portals, mobile applications, student-facing platforms or service platforms in a large or complex organisation.
• Desirable: experience applying user research, service design, data insights, analytics or operational performance data to inform product decisions.
• Desirable: experience with Microsoft cloud and delivery tools such as Azure Dev Ops, Azure services, Dynamics 365, Azure AI services, Azure OpenAI, Azure AI Foundry or related enterprise platforms, and/or coding, scripting, APIs, integrations or technical prototyping.

• We will lead product strategy and portfolio management across our AI and digital transformation portfolios.
• We will own product roadmaps, backlogs, user stories and acceptance criteria for AI and digital products.
• We will run agile product delivery using Azure Dev Ops and SAFe-aligned practices, including backlog refinement, iteration planning, release planning, testing coordination, dependency management and delivery tracking.
• We will manage the end-to-end development of AI-enabled products, prototypes and services, including large language model applications and agentic workflows.
• We will drive the development and continuous improvement of digital transformation platforms, including Microsoft Dynamics 365, CRM and case management, mobile applications, student and staff portals, live chat and data-driven service workflows.
• We will build and maintain trusted relationships with faculties, professional services, IT, governance groups, students, staff, academic communities, vendors and technology partners.
• We will lead the transition of products from build into live service, ensuring documentation, training, communications, release planning, support arrangements and handover processes are in place.
• We will use UX research, service design, data analytics, adoption metrics, stakeholder feedback and operational performance to inform prioritisation and continuous improvement.
• We will ensure products follow appropriate IT, data, security, accessibility, Responsible AI and service governance standards.
• We will contribute to shared product management practices, agile delivery methods and…