Enterprise Information / Data Architect

Experis - ManpowerGroup; Greater London; On-site; GBP 120,000 - 127,000; Full time

Job summary

Experis - ManpowerGroup is seeking a Senior Enterprise Information/Data Architect to shape and deliver the enterprise data strategy for a major transformation programme. This hybrid London role focuses on target-state data architecture, governance, and metadata frameworks, with strong stakeholder collaboration and mentoring of teams.

You will drive data governance, models, and roadmaps across a complex organisation, ensuring data is governed and leveraged to support decisions and regulatory

Qualifications

• Experience in enterprise information or data architecture at senior level.
• Proven data governance, metadata management, and semantic modelling expertise.
• Azure data platform experience including Databricks.
• Ability to influence senior stakeholders, including C‑suite.

Responsibilities

• Define and maintain current and target-state enterprise data architectures.
• Develop conceptual, logical, and physical data models.
• Create data architecture roadmaps aligned to business strategy.
• Drive data governance, lineage, quality, observability, and master data management.
• 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.

Skills

Enterprise data architecture

Data strategy & governance

Metadata management

Ontologies & knowledge graphs

Semantic modelling

Azure data platform (Databricks)

Stakeholder influence (C‑suite)

Large-scale transformation experience

Asset-heavy real estate domain

Finance transformation experience

Communication & stakeholder management

End-to-end data architectures

Tools

Azure Databricks

SQL

Python

LeanIX

ARIS

Job description

Enterprise Information / Data Architect

Location: Hybrid, 2-3 days per week onsite in London
Rate: £650-£690 per day inside IR35
Clearance: BPSS Required
UK Passport Holder

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.

Key Responsibilities

• 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.

Essential Skills & Experience

• 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.