Enterprise Architect

Overview

As an Enterprise Data Architect at MAG, you will shape the data foundations that underpin airport systems and Group technology. You will translate a conceptual framework into practical, scalable data capabilities and lead execution of a unified data model and semantic layer for safe AI usage. The role sits in the Office of the CTO, partnering with delivery teams and governance bodies to drive data strategy, governance and practical data solutions. This is a hands-on, strategy-to-delivery position with impact across MAG’s operational data landscape.

Pay / Benefits

• Bonus scheme
• 10% company contribution pension
• 25 days’ holiday plus bank holidays
• Free parking
• Subsidised public transport
• Volunteering days

Responsibilities

• Build and extend MAG’s logical and physical enterprise data model from the existing conceptual framework
• Align the data model with industry standards (including ACRIS) where appropriate
• Develop a semantic data layer for safe, meaningful AI data consumption
• Collaborate with delivery teams to clarify data sources and provide context to data consumers
• Provide data modelling and architecture expertise across airport and Group projects
• Develop and implement MAG’s data consumption and management strategy, tooling, and direction
• Run the Enterprise Data Model Forum and oversee proposed model changes
• Represent data considerations within Solution Design Authority and governance forums
• Strengthen data management practices (lineage, ownership, stewardship, quality, security, retention, MDM)

Key requirements

• Experience delivering enterprise logical and physical data models
• Strong knowledge of data management, governance, lineage, ownership, stewardship, quality, security, retention
• Understanding of semantic data layers and AI data usage
• Knowledge of data integration techniques, data warehousing and BI technologies
• Experience with industry-standard data models and third-party data management tools
• Excellent communication and stakeholder-management skills for technical and non-technical audiences
• Experience contributing to an Enterprise Data Model Forum or similar governance structure
• Ability to balance architecture with practical model development

• collaboration with technical teams
• clear, confident guidance on data strategy and governance
• analytical and problem-solving skills
• enterprise data modeling (logical and physical)
• data governance (lineage, ownership, stewardship, quality, security, retention)
• semantic data layers for AI

…