Job Title: Senior Data Architect Salary: £70,400 - £94,100 Location: Cambridge/Hybrid with office attendance for an average of 2 days a week Contract: Permanent Shape the future of data and AI at Cambridge University Press & Assessment We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge. About the role As a Senior Data Architect, you will play a pivotal role in delivering a coherent and scalable data framework aligned with our enterprise data strategy. You'll advance key architectural principles such as data mesh, data products, and data contracts, while enabling the strategic use of Artificial Intelligence (AI) and Generative AI (GenAI) across the organisation. You'll be responsible for promoting the data strategy, securing stakeholder buy-in, and defining clear roadmaps for implementation. Your work will underpin and enable broader organisational strategies and operating models, including AI-driven innovation. You'll design and maintain enterprise and information architectures that are robust, future-ready, and capable of supporting both current and emerging business needs-empowering data-informed and AI-enhanced decision making across Cambridge University Press & Assessment. Key accountabilities include: Effectively communicating the enterprise data strategy and operating model to executive leadership, platform teams, business units, technology teams, and external partners. Defining and managing strategic data and information architecture roadmaps that support the business vision and enable AI and GenAI capabilities. Designing and delivering end-to-end enterprise and information architectures that provide transparency and coherence across the organisation. Supporting the growth of architectural capability by mentoring and coaching Data Architects, Junior Architects, and Analysts. Providing thought leadership and strategic direction in data architecture, shaping standards, patterns, policies, and vision statements. Advancing data capabilities such as analytics and AI/GenAI enablement to unlock insights and support informed decision-making. Championing innovation by recognising how evolving data technologies can be harnessed to improve efficiency, effectiveness, and strategic agility.