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Digital & Technology at UAL is on an exciting journey, transitioning from a ‘classic’ IT approach to a user-centred product approach to technology. We are investing in our people, and the processes enabled by digital, to evolve and transform the student and staff experience at UAL. As an Enterprise Data Architect, you’ll play a key role in designing and delivering UAL’s enterprise data and information management frameworks. Reporting to the Head of Data Architecture, you’ll lead the development of data-centric solutions that support the full data lifecycle from planning and acquisition to governance and usage. You’ll translate business strategy into scalable data architectures, define high-level integrated designs, and develop reference models that align with UAL’s strategic goals. You’ll also lead the creation of business information models, support data governance, and help surface the most valuable data assets to drive evidence-based decision-making. Working closely with senior leaders, architects, and cross-functional teams, you’ll ensure that our data architecture aligns with strategic goals and supports innovation, governance, and operational excellence.
Job Responsibility:
Design and deliver UAL’s enterprise data and information management frameworks
Lead the development of data-centric solutions that support the full data lifecycle from planning and acquisition to governance and usage
Translate business strategy into scalable data architectures, define high-level integrated designs, and develop reference models that align with UAL’s strategic goals
Lead the creation of business information models, support data governance, and help surface the most valuable data assets to drive evidence-based decision-making
Ensure that our data architecture aligns with strategic goals and supports innovation, governance, and operational excellence
Requirements:
Proven experience in data architecture, including developing data and information architecture blueprints, strategies, and roadmaps
Strong experience in data warehousing, data modelling, data lakes, master data management, or data analytics
Strong knowledge of TOGAF, DAMA-DMBOK2, and architecture frameworks
Excellent communication skills and the ability to communicate and collaborate effectively with colleagues at all levels of an organisation, whether non-technical or technical
Knowledge of emerging technologies and their application to evolving business models