AI Model Governance Manager: Risk & Inventory

Elsevier; Greater London; Sur place; GBP 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

Wellbeing initiatives

Shared parental leave

Study assistance

Sabbaticals

Résumé du poste

Elsevier is seeking a Model Governance Manager (Data Science) to lead AI governance across the model lifecycle. You will partner with data scientists, model owners and governance stakeholders to ensure compliant approvals, robust inventory, and scalable governance for responsible AI innovation.

You will own day-to-day governance processes, maintain audit-ready records, and drive process improvements while communicating governance requirements clearly to both technical and non-technical

Qualifications

• 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 AI/model governance, model risk management, or 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.

Responsabilités

• 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.

Connaissances

Data science background

ML model development

Governance

Regulatory understanding

Communication

Independent delivery

Model inventory

MLOps

Outils

Model governance tooling

Description du poste

Elsevier is seeking a Model Governance Manager (Data Science) to lead AI governance across the model lifecycle. You will partner with data scientists, model owners and governance stakeholders to ensure compliant approvals, robust inventory, and scalable governance for responsible AI innovation.

You will own day-to-day governance processes, maintain audit-ready records, and drive process improvements while communicating governance requirements clearly to both technical and non-technical