# AI Governance Manager at RELX

AI Level 3, AI centrality 65 out of 100. London Wall.

## Details

- Company: [RELX](https://jobsbylevel.com/companies/relx)
- AI level: AI Level 3 (score 65 out of 100)
- Location: London Wall
- Posted: October 6, 2026
- Apply: https://jobsbylevel.com/go/68257321-d463-4a03-a2ab-3262f36b853b

## Description

Are you excited by the opportunity to help shape scalable AI governance processes that support innovation while maintaining effective risk management? Do you enjoy working closely with data scientists, technical teams, and stakeholders to create practical governance solutions that deliver clear business value? About our Team Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today’s modern clinical environment. We have a very stable product that we’ve worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role As an AI Governance Manager, you will play a key role in operating and enhancing AI governance processes across the organisation. You will partner with data scientists, model owners, and governance stakeholders to support model approvals, inventory management, regulatory compliance, and the continued evolution of a scalable governance framework that enables responsible AI innovation. Responsibilities Own and run day-to-day AI/model approval and review processes, ensuring consistent and timely turnaround. Maintain the model inventory as the authoritative record of models in development and production. Act as the primary day-to-day point of contact for data scientists and model owners navigating governance requirements. Track and report on the health of the model portfolio and the effectiveness of approval processes. Manage and continuously improve governance products supporting approvals and inventory management. Identify opportunities for automation, self-service capabilities, and process improvement. Support the evolution of governance policies, standards, and risk assessment methodologies. Maintain audit-ready documentation and support compliance, audit, and risk management activities. Requirements A data science background with hands-on experience building, training, validating, or deploying machine learning models, gained as a data scientist, ML engineer, or in a closely related technical role. Experience with, or strong interest in, AI/model governance, model risk management, or a related risk/compliance discipline. Strong organizational skills and comfort owning operational processes end-to-end, including maintaining structured records such as a model inventory. Practical understanding of relevant AI/data regulation and standards. A continuous-improvement mindset. Strong communication skills, able to explain governance requirements clearly to technical model owners and translate technical detail for non-technical stakeholders. Ability to work independently on operational delivery while contributing constructively to longer-term framework design. Prior experience with model inventory, MLOps, or model risk management tooling, and exposure to governance framework or policy development. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to

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