Model Governance Manager (Data Science)

Relx Plc; City Of London; In loco; GBP 70.000 - 100.000; Tempo pieno

Descrizione del lavoro

Elsevier is seeking a Model Governance Manager (Data Science) to run scalable AI governance processes that balance innovation with risk management. You will collaborate with data scientists, model owners and governance stakeholders to support approvals, inventory accuracy, and regulatory compliance.

In this role, you will drive end-to-end operational delivery, enhance governance products, pursue automation, and help evolve policies and risk methodologies.

Competenze

• Data science background with hands-on ML experience.
• Experience in AI governance or model risk management.
• Strong organizational skills and ability to own processes end-to-end with structured records.
• Practical understanding of AI/data regulations and standards.
• Clear communication to both technical and non-technical stakeholders.
• Ability to work independently on delivery while contributing to framework design.
• Exposure to model inventory, governance framework, or policy development.

Mansioni

• Own day-to-day AI/model approval and review processes.
• Maintain model inventory as the authoritative record of models in development and production.
• Primary day-to-day contact for AI software requesters, data scientists and model owners navigating governance requirements.
• Track and report on 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 evolution of governance policies, standards, and risk assessment methodologies.
• Maintain audit-ready documentation and support compliance and risk management activities.

Conoscenze

Data science background

AI governance experience

Model risk management

Regulatory understanding

Communication skills

End-to-end ownership

MLOps exposure

Strumenti

MLOps tooling

Governance tooling

Descrizione del lavoro

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.

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. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

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.

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