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AI Governance Manager

RELX Group
London, GBR
Full-time
Onsite
Discovered 2 weeks ago
AI and model governanceMachine learning model development, training, validation, or deploymentModel approval and review processesModel inventory managementModel risk managementAI and data regulation and standards

Full Job Posting

About the role

Operate and enhance scalable AI governance processes within Data Science, supporting innovation while managing risk.

Partner with data scientists, model owners, and governance stakeholders on model approvals, inventory, regulatory compliance, and the governance framework.

Responsibilities

  • Run day-to-day AI/model approval and review processes with consistent, timely turnaround.
  • Maintain the authoritative inventory of third-party software and models in development and production.
  • Support requesters, data scientists, and model owners as they navigate governance requirements.
  • Track and report on model-portfolio health, third-party AI software, and approval-process effectiveness.
  • Improve governance products for approvals and inventory management; identify automation, self-service, and process-improvement opportunities.
  • Support governance policies, standards, and risk-assessment methodologies.
  • Maintain audit-ready documentation and support compliance, audit, and risk-management activities.

Requirements

  • Data science background and hands-on experience building, training, validating, or deploying machine-learning models in a data science, ML engineering, or related technical role.
  • Experience with, or strong interest in, AI/model governance, model risk management, or a related risk/compliance discipline.
  • Strong organization skills and ability to own operational processes end to end, including structured model-inventory records.
  • Practical understanding of relevant AI/data regulation and standards.
  • Strong communication skills for technical and non-technical stakeholders.
  • Ability to deliver operational work independently and contribute to longer-term framework design.
  • Prior model-inventory, MLOps, or model-risk tooling experience and exposure to governance framework or policy development are listed as additional experience.

Working approach

  • The role calls for a continuous-improvement mindset and effective communication with technical model owners and non-technical stakeholders.

Wellbeing and benefits

  • The employer describes wellbeing initiatives, shared parental leave, study assistance, and sabbaticals; benefits vary by country.

About the business

The business describes itself as providing information, data, and analytics for research, healthcare, science, education, and clinical practice.

Application information

  • The employer states that it is committed to a fair and accessible hiring process and offers an accommodation-request process.

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