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 MAG’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 MAG’s data consumption and management strategy, tooling, and technical direction, then lead its implementation.
• Run MAG’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 warehousing, and business intelligence technologies.
• Strong analytical and problem-solving skills, with the ability to turn business needs into effective data solutions.
• The communication and stakeholder-management skills to explain complex data concepts clearly to both technical and non-technical audiences.
• Experience contributing to an Enterprise Data Model Forum or a similar data-governance structure.

If you don’t meet every requirement but believe your experience and approach could make a difference, we’d still encourage you to apply.

Equal Opportunities and Reasonable Adjustments

We’re building something brilliant at MAG: a diverse team of Journey Makers who share our values and want to make a difference. We’re on a mission to be number one in our industry, and that takes talent in all its forms.

Whether this is your first role or your next big step, we want to hear from you, even if you don’t think you tick every box. What matters most is what you bring.

We’re proud to be a Disability Confident employer. If you need any adjustments to support your application or interview, just let us know. We’re committed to helping you perform at your best.

At MAG, every journey matters. Our Colleague Communities include Women’s Network, Embrace, Fly with Pride, Mind Matters, PACT, and RespectABILITY.