12 дней назад
AI Governance Director (Data Science)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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