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.
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