# Director, Data Architecture at RELX

RELX is hiring a Director, Data Architecture. Level rates it Little AI ●○○○; you can [apply on RELX](https://jobsbylevel.com/go/71726288-ffc2-4cb0-917a-f6094d549ce9?utm_medium=ai-agent).

AI Level 1, AI centrality 22 out of 100. Oxford Nielsen House.

## Details

- Company: [RELX](https://jobsbylevel.com/companies/relx)
- AI level: AI Level 1 (score 22 out of 100)
- Location: Oxford Nielsen House
- Posted: November 3, 2026
- Apply: https://jobsbylevel.com/go/71726288-ffc2-4cb0-917a-f6094d549ce9?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=director-data-architecture-at-relx-0a131c

## Description

Director, Data Architecture Do you want to lead the shift to a product-based data architecture and design the Data foundations of our AI-enabled data estate — and build the team that makes it happen? Do you thrive on combining people leadership with hands-on architectural direction to solve complex data challenges? About the team: Digital Business Solutions (DBS) is a global technology team of 400 FTE and 300 partner staff, supporting stakeholders across Elsevier and RELX. DBS forms part of Elsevier’s global Technology function and is the enterprise delivery arm across Elsevier. We provide a wide range of business-critical services across over 250 applications, from Sales and Marketing Technology to eCommerce solutions, from financial system management to Content Publishing Systems. The group includes non-technology functions such as Product Management and a Portfolio Programme Management Office. Within DBS, the Architecture function sets technical direction across our products and platforms, partnering with the business to translate strategy into scalable, secure, and high-performing solutions. We are moving from a traditional, centralized data warehouse and operational data store model to a data mesh paradigm, decentralizing ownership of data to the domains that know it best, treating data as a product, and building the self-serve platform and federated governance that make that possible. This is one of the most significant architectural shifts in our history, and it needs a leader who can define it, build support for it, and build the team to oversee the delivery. About the role: Reporting to the Senior Director of Architecture, the Director of Architecture: Data is a new leadership role responsible for defining and executing our data architecture vision, and for building and leading a team of data architects (Associate Architect, Architect and Senior Architect) to deliver it. This role combines people leadership, strategic architectural direction, and hands-on technical oversight. You will be the primary architect and champion of our data mesh transition, guiding the migration away from our current data warehouse and ODS model toward a distributed, domain-oriented architecture with clear data products, interoperable standards, and federated governance. You will foster architectural excellence through mentorship, talent development, and clear technical governance. You will help your team balance innovation with pragmatism, align technical decisions with business outcomes, and maintain consistent architecture practices across our product lines. Success in this role depends on building strong working relationships across the leadership team, particularly with the Senior Director of Data Products, the Head of Data Platform and the Head of Data Governance. The first strategic aim will be ensuring the transition to data mesh is well aligned, jointly owned, and sustained across product, platform, and governance boundaries. Key responsibilities: Build, lead, and grow a team of data architects, providing mentorship, technical direction, and career development. Define and own the target-state data architecture for the team, establishing data mesh principles including domain-oriented ownership, data as a product, self-serve data infrastructure, and federated computational governance as the standard operating model. Collaborate with key stakeholders to identify and prioritize the most valuable data products and outcomes. Lead the strategy and execution for migrating away from the current centralized data warehouse and operational data store model toward a distributed, data product-based architecture. Ensure data domains and assets are clearly structured, connected and aligned across the organisation, avoiding duplication, conflicting definitions, and siloed solutions. Partner with business stakeholders to understand decision-making needs and translate these into scalable, outcome-driven data domain designs. Work closely with

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