You and the process

With a person
Anna, in-house recruiter
9 years hiring engineers
30 minutes with a real recruiter
They read your CV with you, on a call, and say where the offers are being lost.
Didn’t find what you were looking for? Tell us what to build
RELX

Model Governance Manager (Data Science)

  • Office
  • 6+ years

Salary

Not stated

Similar roles pay £75K - 90K a year · our estimate

AI summary

For members

The whole posting in a few lines. Sign up to read it here and on every role you open.

Sign Up to Read

Description

Are you excited by the opportunity to run and help shape scalable AI governance processes that support innovation while maintaining effective risk management?

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.

About the Role

As a Model 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.
  • &xa;&xa;&xa;&xa;&xa;&xa;
  • 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.
  • Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
  • USA Job Seekers:

Where you’d work

From the office

About the company

RELX

Offices in London, United Kingdom, United Kingdom

Also hiring in United States, Philadelphia, United States, Ireland and 24 more places

13 of their 115 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 2 red flags

Still hiring?

13 checks

1 red flag

How crowded?

6 checks

1 red flag

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details10 facts · Role, Location, Compensation, Employment
Seniority
Lead
Type
Full-time
Specialty
Data Science
Region
United Kingdom
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Science
Seniority
Lead
Experience
6+ years

Location

Work model
Office
Region
United Kingdom
Offices
  • London, United Kingdom
  • United Kingdom

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Something wrong with this vacancy?

Similar vacancies

Share this vacancy

What's wrong with it?

The employer never sees who reported.

Reason