Model Governance Manager (Data Science)

Elsevier Limited Company; City Of London; In loco; GBP 90.000 - 120.000; Tempo pieno

Vantaggi offerti da questo lavoro

Wellbeing initiatives

Shared parental leave

Study assistance

Sabbaticals

Descrizione del lavoro

Elsevier seeks a Model Governance Manager (Data Science) to lead scalable AI governance across our data science initiatives. You will partner with data scientists, model owners, and governance stakeholders to drive approvals, maintain inventories, ensure regulatory compliance, and evolve a scalable governance framework enabling responsible AI innovation.

You will own day-to-day governance processes, track portfolio health, improve governance tooling, and advocate automation while maintaining

Competenze

• Data science background with hands-on ML experience (training/validation/deployment).
• Experience or strong interest in AI/model governance and risk management.
• Strong organizational skills, end-to-end process ownership with documented records.

Mansioni

• Own day-to-day AI/model approval and review processes with timely turnaround.
• Maintain model inventory and 3rd party AI software as authoritative records.
• Serve as the primary contact for governance requirements with data scientists and owners.
• Track health of model portfolio and governance processes; report findings.
• Improve governance products to support approvals and inventory management.
• Identify opportunities for automation and self-service capabilities.
• Support governance policy evolution and risk assessment methodologies.
• Maintain audit-ready documentation for compliance and risk management.

Conoscenze

Data science background

Governance processes

Organizational skills

Communication skills

Independent work

Continuous-improvement mindset

Model inventory

MLOps

Model risk management

Strumenti

Model inventory

MLOps 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.

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