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.
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.
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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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Skills Required
- Significant experience in AI or model governance, model risk management, data governance, compliance, or a related risk discipline
- Experience managing people
- 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
- Strong stakeholder management and communication skills
- Experience 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
RELX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.
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Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
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Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.
RELX Insights
What We Do
RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.
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