About the Role
As AI Governance Director, you will own and evolve the end-to-end AI and model governance framework on behalf of the Data Science function. You will provide strategic leadership, helping to ensure AI systems are developed and deployed responsibly while balancing regulatory compliance, risk management, innovation, and business outcomes. This role partners closely with technical, legal and product stakeholders to embed effective governance into how we use AI.
Responsibilities
- Own the end-to-end AI and model governance framework on behalf of the Data Science function, including policy implementation and continuous improvement.
- Define standards for model risk classification, approvals, documentation, monitoring, and lifecycle management.
- Set the strategic roadmap for AI governance tools and processes.
- Ensure compliance with relevant AI regulations and standards, including the EU AI Act, GDPR, and emerging global requirements.
- Partner with Legal, Compliance, Privacy, and Information Security teams to maintain governance policies.
- Act as a key contact for audits, regulators, customers, and industry forums on AI governance matters.
- Establish governance metrics, reporting, model inventory oversight, and operational effectiveness measures.
- Lead and develop governance capability while supporting training and awareness across the organisation.
Requirements
- Significant experience in AI/model governance, model risk management, data governance, compliance, or a related risk discipline, including people management.
- Strong knowledge of AI governance regulations and frameworks (EU AI Act, ISO 42001 or similar) and their practical application.
- Experience designing and operating governance processes for AI/ML models in production environments.
- Strong commercial judgment with the ability to balance innovation, risk, and business objectives.
- First class stakeholder management and communication skills, with experience influencing senior technical and business leaders.
- Proven track record of creating scalable governance processes, driving continuous improvement, and introducing automation.
- Working knowledge of the AI/ML lifecycle, including data sourcing, model development, validation, deployment, and monitoring.
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. Click here to access benefits specific to your location.
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Skills Required
- Significant experience in AI or model governance, model risk management, data governance, compliance, or a related risk discipline
- People management experience
- Strong knowledge of AI governance regulations and frameworks, including the EU AI Act and ISO 42001 or similar
- Experience designing and operating governance processes for AI/ML models in production environments
- Strong commercial judgment balancing innovation, risk, and business objectives
- Excellent stakeholder management and communication skills, including influencing senior technical and business leaders
- Track record of creating scalable governance processes, driving continuous improvement, and introducing automation
- Working knowledge of the AI/ML lifecycle, including data sourcing, model development, validation, deployment, and monitoring
Elsevier Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Elsevier and has not been reviewed or approved by Elsevier.
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Leave & Time Off Breadth — Feedback suggests paid time off spans vacation, holidays, sick days, bereavement, military leave, and volunteer time. Family-related leave options are also emphasized as part of the package.
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Healthcare Strength — Feedback suggests medical, dental, vision, life insurance, wellness initiatives, and an EAP form a comprehensive health offering. Gym support and wellbeing hubs reinforce an ongoing health and wellness focus.
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Retirement Support — Feedback suggests retirement programs include a 401(k)/retirement plan and pension options, with long-term savings vehicles such as an employee stock purchase plan also available. These elements contribute to a sense of financial security beyond base pay.
Elsevier Insights
What We Do
Elsevier is a world-leading provider of information solutions that enhance the performance of science, health, and technology professionals, empowering them to make better decisions, and deliver better care. Because informed decisions lead to better outcomes, Elsevier is a leader in information and analytics for customers across the global research and health ecosystems. Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems.
