AI Governance Manager

RX Brasil; Greater London; On-site; GBP 65,000 - 90,000; Full time

Job summary

Elsevier is seeking an AI Governance Manager to lead and evolve governance processes in Data Science, partnering with model owners and governance stakeholders to support approvals, inventory, and regulatory compliance.

You will help shape a scalable governance framework, drive automation opportunities, and maintain audit-ready documentation while promoting responsible AI innovation across projects.

Qualifications

• Data science background with hands-on ML experience.
• Interest or experience in AI/model governance or risk management.
• Strong organizational skills and ability to own end-to-end processes with structured records.
• Understanding of AI/data regulation and standards.
• Continuous-improvement mindset.
• Strong communication to explain governance to technical and non-technical stakeholders.
• Ability to work independently while contributing to long-term framework design.
• Experience with model inventory, MLOps, or model risk management tooling.

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.
• Serve as the primary day-to-day contact for governance requirements.
• 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 governance policy evolution, standards, and risk methodologies.
• Maintain audit-ready documentation for compliance and risk activities.

Skills

Data science background

Governance / risk management

Communication skills

Independent work

Continuous improvement mindset

Tools

MLOps tooling

Governance framework tooling

Job description

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 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. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits.

We are committed to providing a fair and accessible hiring process.

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.

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