About the Role
As an AI 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. 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
- Data science background with hands-on experience building, training, validating, or deploying machine learning models
- Experience with or strong interest in AI/model governance, model risk management, or related risk and compliance disciplines
- Strong organizational skills and ability to own operational processes end-to-end
- Practical understanding of relevant AI/data regulations and standards
- Continuous-improvement mindset
- Strong communication skills for technical and non-technical stakeholders
- Ability to work independently on operational delivery and contribute to governance framework design
- Experience with model inventory, MLOps, or model risk management tooling
- Exposure to governance framework or policy development
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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