Senior Data Architect

excellence, with priorities including student success, research and education excellence, and building a sustainable future. Enterprise Data Architecture within IT supports these priorities by establishing a consistent approach to how data is structured, governed, shared and reused across the University. It aligns data capabilities, standards and architecture with wider University needs, supporting trusted data, digital services and emerging AI capabilities. About the role: We are looking for a Senior Data Architect to provide enterprise-level strategic architecture direction for Data and AI at King’s, supporting the University’s strategy and the effective and responsible use of data and emerging AI capabilities. Reporting to the Head of Information Architecture, you will contribute to Enterprise Architecture across Business, Data, Application and Technology Architecture. You will translate strategic priorities into target architectures, capabilities, roadmaps, principles and standards, helping ensure Data and AI investments align with wider University needs and deliver institutional value. A key focus of the role will be shaping how trusted and governed University data supports AI and digital capabilities, including how data is prepared, accessed and governed for AI use, and how AI-generated information is captured, classified, stored, secured, retained and reused. You will define the Data Architecture capabilities, standards and patterns needed to support current and emerging AI approaches, including Generative AI, RAG, agentic AI and Model Context Protocol (MCP). You will work with senior stakeholders, Data Owners, Data Stewards, Data Custodians, Data Governance, Enterprise and Business Architecture, Data Solutions, Cloud & Platform, IT Assurance, delivery teams, other Professional Services teams and external suppliers. You will provide strategic architecture advice and assurance, communicate complex Data and AI decisions in clear, business-oriented language, and support alignment across portfolio priorities, Value Streams, PI planning and Agile Release Trains. This is a full-time post (35 hours per week), and you will be offered an indefinite contract.