AI Governance Manager (Data Science)

Elsevier; Greater London; On-site; GBP 70,000 - 100,000; Full time

Job summary

Elsevier is seeking an AI Governance Manager to shape scalable governance processes in Data Science, partnering with data scientists, model owners and governance stakeholders to support model approvals and regulatory compliance.

You will manage model inventory, automation opportunities, and governance policy evolution, while ensuring audit-ready documentation and robust risk management across development and production environments.

Qualifications

• Experience in building, training, validating, or deploying ML models in a data-science or ML engineering role.
• Familiarity with AI/model governance, model risk management or related compliance activity.
• Strong organizational skills and end-to-end operational delivery experience.
• Knowledge of AI/data regulations and standards; ability to explain governance to non-technical stakeholders.
• Ability to work independently while contributing to longer-term governance framework design.

Responsibilities

• Own day-to-day AI/model approval and review processes with timely turnaround.
• Maintain model inventory and third-party AI software as authoritative records.
• Serve as primary contact for AI software requests and governance requirements.
• Track portfolio health and effectiveness of approval processes; report findings.
• Improve governance products supporting approvals and inventory management.
• Identify opportunities for automation and self-service capabilities.
• Support evolution of governance policies, standards, and risk methodologies.
• Maintain audit-ready documentation for compliance and risk management.

Skills

Data science

ML engineering

Governance

Model risk management

Operational delivery

Communication

Tools

MLOps tooling

Governance platforms

Model risk tooling

Job description

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 an AI 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.
• 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.