Hybrid Enterprise Data Architect: AI-Ready Modeling

MAG (Airports Group); Manchester; Hybrid; GBP 85,000 - 120,000; Full time

Benefits offered by this job

Free parking

Subsidised public transport

Company discounts

Two volunteering days each year

Free Virtual GP service

Care Concierge service

Job summary

MAG is seeking an experienced Enterprise Data Architect to shape MAG's operational data model and data management strategy. You will work on logical and physical models, align with industry standards, and create a semantic layer to support AI tools while ensuring data context and safety.

You will join the Office of the CTO's Enterprise Architecture team, collaborate with delivery teams, and drive practical data capabilities from concept to implementation in a hybrid setup at Manchester Airport.

Qualifications

• Experience delivering enterprise logical and physical data models.
• Strong knowledge of data management, consumption and governance.
• 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.
• 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.

Responsibilities

• 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

Skills

Data architecture

Data modeling

Data governance

Data lineage & stewardship

Semantic layer

Data integration

Data warehousing

Business intelligence

Stakeholder communication

Tools

ACRIS

Job description

MAG is seeking an experienced Enterprise Data Architect to shape MAG's operational data model and data management strategy. You will work on logical and physical models, align with industry standards, and create a semantic layer to support AI tools while ensuring data context and safety.

You will join the Office of the CTO's Enterprise Architecture team, collaborate with delivery teams, and drive practical data capabilities from concept to implementation in a hybrid setup at Manchester Airport.