Model Governance Manager (Data Science)

RELX International; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Shared parental leave

Study assistance

Sabbaticals

Job summary

Elsevier is seeking a Model Governance Manager (Data Science) to lead AI governance across the model lifecycle, partnering with data scientists and governance stakeholders to enable responsible AI innovation.

You will own approvals, inventory management, regulatory compliance, and the evolution of a scalable governance framework, ensuring audit-ready documentation and robust risk management.

Qualifications

• Hands-on experience building, training, validating or deploying ML models.
• Interest in AI/model governance or related risk/compliance discipline.
• Strong organizational skills with ability to manage end-to-end processes.
• Ability to explain governance requirements to technical and non-technical stakeholders.

Responsibilities

• Own and run day-to-day AI/model approval and review processes.
• Maintain the third-party software and model inventory as the authoritative record of models in development and production.
• Act as the primary day-to-day contact for AI software requesters, data scientists and model owners.
• Track and report on the health of the model portfolio and approval processes.
• Manage and improve governance products supporting approvals and inventory management.
• Identify opportunities for automation and self-service capabilities.
• Support the evolution of governance policies, standards, and risk assessment methodologies.
• Maintain audit-ready documentation for compliance and risk management.

Skills

Data science background

Strong communication

Independent work

Continuous improvement

Tools

Model inventory

MLOps tooling

Governance tooling

Job description

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 softwareand 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.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

_ USA Job Seekers: _

EEO Know Your Rights.