Model Governance Manager (Data Science)
At a glance
Manager-level Data Science role at RELX. London Wall · full-time · no salary stated · we estimate £42,000–£85,000 across the United Kingdom.
RELX has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Run daily AI and model reviews, keeping approvals consistent and moving through the process promptly
- Keep the inventory of third-party AI software and models current for development and production work
- Guide requesters, data scientists and model owners through governance steps as their day-to-day contact
- Track portfolio and approval-process health, then report findings to relevant stakeholders
- Improve approval and inventory tools, processes and guidance while supporting audit-ready records and compliance work
What you bring
- Hands-on experience building, training, validating or deploying machine-learning models in data science or a related technical role
- Experience or a strong interest in AI governance, model risk, or a related risk and compliance area
- You understand relevant AI and data rules and standards, and can explain governance needs to technical and non-technical audiences
- You can manage operational work independently while contributing to governance framework design
Who this fits
This manager role suits someone with practical machine-learning experience who wants to combine operational governance delivery with improvements to the wider framework. The position is based in London Wall, United Kingdom.
From the employer
Model Governance Manager (Data Science)
Are you excited by the opportunity to run and help shape scalable AI governance processes that support innovation while maintaining effective risk management?
About the team:
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 partner for a better world.
About the Role
As a Model Governance Manager, you will play a key role in operating and enhancing AI governance processes within Data Science. 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 third-party software and model inventory model inventory as the authoritative record of models in development and production.
- Act as the primary day-to-day point of contact for AI software requesters, data scientists and model owners navigating governance requirements.
- Track and report on the health of the model portfolio, 3rd party AI software 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.
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 partner for a better world.







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