Role purpose The techno-functional IT Business Analyst will bridge business needs and technical delivery for the LMS Replacement Programme. The role will translate programme objectives and business processes into clear, testable and traceable requirements and solution designs, ensuring the selected solution is technically feasible, supportable and aligned to intended business outcomes and user experience. Working in a complex global environment, the role will support design, build, testing, validation, deployment and transition. It will work closely with business and process owners, the programme delivery team, Quality and Validation, Architecture, Integration, Data Migration, Security, Test, Change and Communications teams, and implementation partners. The successful candidate will combine strong business analysis capability with sufficient technical depth to understand enterprise SaaS configuration, integrations, data structures, security and access, and the implications of solution design decisions. The successful candidate will also be AI-fluent and digitally curious, using AI-enabled tools, automation and data-driven approaches responsibly to improve analysis, requirements quality, insight and process design while protectingngagement to stakeholder needs, influence and decision rights. Plan and facilitate workshops, interviews and uation or design changes across integrations, data, validation, testing, support and business processes. Validation, testing and quality Ensure requirements and associated evidence are complete, controlled, approved and suitable for a validated terface and business process design. Business analysis certification such as IIBA, BCS or equivalent. Key behaviours Techno-functional and outcome-focused Connects business needs, processes, data and technology, translating them into practical and supportable solution outcomes. Collaborative and influential Builds trust across business, IT and suppliers and facilitates constructive, timely decisions. Quality-minded and rigorous Maintains disciplined requirements, traceability, documentation and validation evidence. AI-fluent and digitally curious Uses AI, automation and data to improve productivity, insight and decision making, while applying critical judgement and working confidently through ambiguity.