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12 дней назад

AI Governance Director (Data Science)

Формат работы
onsite
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
AI Governance Director (Data Science) (AI governance): Owns and evolves the end-to-end AI and model governance framework, including risk classification, regulatory compliance, monitoring, and lifecycle management, with an accent on the EU AI Act, GDPR, ISO 42001, and production AI/ML governance. Focus on designing scalable governance processes, leading stakeholder alignment, establishing oversight metrics, and developing governance capability.

Location: London Wall, London, United Kingdom

Company

hirify.global is a global information and analytics business supporting research, healthcare, science, education, and clinical practice through trusted information, data, and technology.

What you will do

  • Own and continuously improve the end-to-end AI and model governance framework for the Data Science function.
  • Define standards for model risk classification, approvals, documentation, monitoring, and lifecycle management.
  • Set the strategic roadmap for AI governance tools and processes, including automation and continuous improvement.
  • Ensure compliance with AI regulations and standards, including the EU AI Act, GDPR, ISO 42001, and emerging global requirements.
  • Partner with Legal, Compliance, Privacy, Information Security, technical, and product stakeholders.
  • Lead audits, regulatory and customer engagements, governance reporting, model inventory oversight, training, and capability development.

Requirements

  • Significant experience in AI or 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.
  • 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.
  • Excellent stakeholder management and communication skills, including experience influencing senior technical and business leaders.
  • Working knowledge of the AI/ML lifecycle, from data sourcing and model development through validation, deployment, and monitoring.

Culture & Benefits

  • Focus on healthy work-life balance and employee well-being.
  • Wellbeing initiatives, shared parental leave, study assistance, and sabbaticals.
  • Country-specific benefits and an accessible, fair hiring process.

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