Enterprise Information/Data Architect

We’re seeking an experienced Enterprise Information/Data Architect to help shape and deliver the enterprise data strategy for a major transformation programme. This is a senior, enterprise-level architecture role focused on defining target-state data architecture, governance, information models, and data capabilities across a complex organisation.

You’ll work closely with business, technology, and architecture teams to ensure data is structured, governed, and leveraged effectively to support decision-making, regulatory requirements, and digital transformation initiatives., * Define and maintain current and target-state enterprise data architectures.

• Develop conceptual, logical, and physical data models.
• Establish enterprise data domains, canonical models, ontologies, semantic layers, and metadata frameworks.
• Create data architecture roadmaps aligned to business and digital strategy.
• Drive data governance, lineage, quality, observability, and master data management initiatives.
• Ensure alignment between enterprise data models and solution architectures.
• Partner with business and technology stakeholders to define requirements and data strategies.
• Contribute to Architecture and Design Authority governance activities.
• Act as a thought leader, mentoring architects, analysts, and data teams.

• Strong enterprise-level Information or Data Architecture experience.
• Expertise in data strategy, governance, metadata management, ontologies, knowledge graphs, and semantic modelling.
• Experience designing end-to-end data architectures across complex organisations.
• Strong Azure data platform experience, including Databricks.
• Experience delivering large-scale transformation programmes.
• Ability to influence and challenge senior stakeholders, including C-suite executives.
• Experience within complex, asset-heavy, property, real estate, or similar environments.
• Finance transformation experience.
• Excellent communication and stakeholder management skills.

Desirable Skills

• TOGAF, DAMA-DMBOK, or similar architecture frameworks.
• Experience supporting AI, advanced analytics, and machine learning initiatives.
• Knowledge of SQL and/or Python.
• LeanIX, ARIS, or other Enterprise Architecture tooling.
• Geospatial data and digital twin experience.
• Agile or hybrid delivery experience.

This is an excellent opportunity for a senior data architecture professional looking to influence enterprise strategy and drive impactful data transformation across a complex business environment.