Enterprise Data Architect — AI-Ready Data Model

MAG (Airports Group); Manchester; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

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/

Care Concierge service

Job summary

MAG is seeking an experienced Enterprise Data Architect to shape MAG’s operational data model and data governance across airport and Group technology. You will balance strategic thinking with hands-on model development, working with architects, engineers and stakeholders to deliver scalable data capabilities.

You will focus on run-time data consumption, data semantics and ensuring safe AI tool integration within the enterprise data framework.

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 with semantic data layers and AI data usage guidance.
• Ability to translate business needs into effective data solutions.

Responsibilities

• Build and extend MAG’s enterprise data model across domains.
• Align data models with industry standards such as ACRIS where relevant.
• Develop a semantic data layer for safe AI data consumption.
• Collaborate with delivery teams to provide context and meaning of data.
• Lead data model governance forums and define data strategy.

Skills

Enterprise data architecture

Data modelling

Data governance

Semantic data layer

AI data understanding

Data integration

Job description

MAG is seeking an experienced Enterprise Data Architect to shape MAG’s operational data model and data governance across airport and Group technology. You will balance strategic thinking with hands-on model development, working with architects, engineers and stakeholders to deliver scalable data capabilities.

You will focus on run-time data consumption, data semantics and ensuring safe AI tool integration within the enterprise data framework.