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Elsevier

Global STM publisher of journals.

Model Governance Director - Data Science

Data ManagementConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedIn-person

About the Job

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, including the EU AI Act and ISO 42001 or similar, and their practical application.
  • Experience designing and operating governance processes for AI/ML models in production environments.
  • Strong commercial judgment and the ability to balance innovation, risk, and business objectives.
  • Experience influencing senior technical and business leaders.
  • A 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.

Responsibilities

  • Own and continuously improve the end-to-end AI and model governance framework for the Data Science function, including policy implementation.
  • 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.

About the Company

Elsevier

Global STM publisher of journals.

Elsevier provides scientific, medical, and technical content and analytics to researchers, educators, clinicians, and institutions worldwide through journals, books, databases, and digital platforms. It operates by offering access to peer-reviewed articles and professional literature via online platforms, along with tools for discovery, citation tracking, research management, and clinical decision support. Unlike other publishers, Elsevier combines a broad portfolio of STM content with integrated analytics and workflow tools, serving researchers, healthcare professionals, and academic institutions on a global scale. Its goal is to enable the advancement of knowledge and improve health outcomes by delivering reliable, accessible information and data-driven solutions across the research lifecycle.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Amsterdam, Netherlands
Founded
1880

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