Enterprise Architect

Our client is a UK airports group. Summary Enterprise Data Architect Permanent Hybrid ( one of its airports ) Why our client? We provide the airport facilities and travel services that people need to connect with the world. As the largest UK-owned airport operator, we serve over 66 million passengers a year from Manchester, one of its airports and one of its airports.

With more than 270 destinations across the globe, our businesses bring people together and support the prosperity of the regions in which we operate. Sustainability is one of our core values and shapes everything we do. We're committed to protecting the environment, supporting our local communities and creating inclusive environments in which our people can thrive. We are the Journey Makers.

We're one big team, on a journey of growth, making a real impact. Join our Group Technology function and you'll help shape the data foundations behind the systems and services that keep our airports moving. You'll also have access to Grade 4a benefits including:
Bonus scheme 10% company contribution pension 25 days' holiday plus bank holidays Free parking Subsidised public transport A wide range of company discounts Two volunteering days each year Free Virtual GP service, available 24 hours a day, seven days a week Care Concierge service The role We're looking for an experienced Enterprise Data Architect to help develop our client's operational data model and shape how data is managed, understood and consumed across our airport and Group technologies.

This is a role for someone who can combine strategic thinking with hands-on delivery. You'll work in the detail of logical and physical data models and definitions, partnering with development teams, solution architects and integration engineers. You'll also help set the technical direction for operational data and create a semantic data layer that enables AI tools to understand and interpret our client's data safely and effectively.

The focus is on run-time data consumption and data semantics rather than analytics and reporting. You'll join the Enterprise Architecture team within the Office of the CTO and report to the Head of Enterprise Architecture. The role has been reshaped to place a stronger emphasis on execution, giving you the opportunity to turn an established conceptual framework into practical, scalable data capabilities.

Key accountabilities You'll:
Build and extend our client's logical and physical enterprise data model, working from the existing conceptual framework of data domains, entities and relationships. Align the data model with relevant industry standards, including ACRIS, where appropriate. Develop a semantic data layer that supports safe, meaningful consumption of data by AI tools. Work with delivery teams to understand data sources and give data consumers a clear view of the context and meaning of the information they use.

Provide data modelling and architecture expertise across airport and Group technology projects. Help develop our client's data consumption and management strategy, tooling and technical direction, then lead its implementation. Run our client's Enterprise Data Model Forum, providing an effective authority for proposed changes to the model. Represent data considerations within the Solution Design Authority and other technology governance forums. Strengthen data management practices covering lineage, ownership, stewardship, quality, security, retention, precedence rules and Master Data Management What will make you successful in the role?

You'll bring experience working as an enterprise-level data architect, with evidence of developing and delivering data models in a complex organisation. You'll be comfortable moving between architecture and practical model development. You'll enjoy working collaboratively with technical teams while also giving stakeholders clear, confident guidance on data strategy and governance. You'll ideally have:
Experience delivering enterprise logical and physical data models. Strong knowledge of data management, consumption and governance. A clear understanding of data lineage, ownership, stewardship, quality, security and retention. Experience adapting or extending industry-standard data models. Knowledge of technologies and third-party tools used to manage and provide access to data. An understanding of semantic data layers and how they can support accurate, responsible use of data by AI tools.

Knowledge of data integration techniques, data…