ApplySarthi

AI Governance Manager

Relx

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This role on the market

450 open governance roles across 113 companies are on ApplySarthi right now, most of them in Bengaluru (26), Hyderabad (19), Mumbai (10).

What governance roles keep asking for: Stakeholder management (25%) — counted across their open postings here.

MLOps jobs · Machine learning jobs

Relx has 887 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for governance roles keep coming back to Stakeholder management. Practise those questions before you sit with Relx.

Questions you are likely to be asked

  1. Why do you want to join Relx?
  2. What is your experience with MLOps? Tell me one thing you learned the hard way.
  3. How would you explain your model's result to someone who is not technical?
  4. What would you check first if a model's accuracy dropped after going live?
  5. When would you not use machine learning for a problem?

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





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Listed on workday · posted 2026-10-06. ApplySarthi collects openings and links to application pages; the role is advertised by Relx, not by us.