AI Governance Specialist
NebiusAmsterdam, Netherlands; London, United Kingdom; Remote - EuropePosted 12 March 2026
Job Description
Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with RD hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI RD team.
Role Overview
AI and Observability Specialist will be responsible for the definition and maintenance of the AI Governance standards and relative guidelines and playbooks, including the oversight of tooling and processes, and will drive the corresponding best practice across the company. Most specifically, the role oversees that AI systems are developed, deployed, classified, used and maintained responsibly, ethically, and in line with regulations and with a risk mitigation approach. This role blends Data and AI technical understanding with policy, ethics, and risk management. The new joiner will have autonomy over the delivery of their work, including requirements gathering, contribution to the solution design, overseeing tooling selection, implementation, integration, roll-out and adoption across business units in a collaborative manner.
Key Responsibilities
Design and develop AI governance and AIMS frameworks, including AI Governance standards and playbooks, aligned with organizational values and global norms
Contribute to the design and implementation of AI Governance related tools
Ensure PIAs, impact and risk assessments are timely and shared with Leadership to enable effective risk mitigation (e.g., EU AI ACT Risk Assessment, Data Protection Impact Assessment completion)
Maintaining classification and risk registers for AI use cases
Contribute to the KPIs and adoption metrics, for the AI Governance standards across Nebius, unlocking innovation and business value through leveraging data and AI
Gather, analyze and manage requirements, coming from various stakeholders (e.g., Cybersecurity, Privacy, Legal and respective Business Units)
Key Qualifications Experience
Must-have requirements:
Certified lawyer
5+ years’ experience in AI, with a strong understanding of AI/ML technologies (grasping how models work, are trained, mitigate for bias, drift, coding etc.)
prefund knowledge with AI-related regulations (e.g., EU AI Act, GDPR, EU Digital Omnibus, DORA, US legislation) and applicable standards (e.g ISO 42001)
Knowledge of data lifecycle (collection, storage, processing, deletion)
Ability to apply ethical and risk management frameworks to AI use cases
Knowledge of human rights impacts of AI (ability to contribute to FRIAs)
Understanding of fairness, accountability, transparency, and explainability (FATE)
Strong analytical capabilities to assess complex technical and ethical risks.
Familiarity with AI quality and observability, including architecture and key metrics
Experience in conducting impact and risk assessments (e.g., EU AI ACT risk Assessment, Data Protection Impact Assessment)
Experience in working with data scientists, legal teams, compliance, IT, cybersecurity, product owners and other stakeholders
Preferred qualifications:
Experience in effective training programs to foster a culture of ethics and governance in AI use cases
Excellent communication skills to convey complex technical concepts to non-technical audiences and build effective relationships across departments.
Competencies Behavioral Traits
Excellent communication and stakeholder-management skills.
A proactive, detail-oriented mindset with the ability to lead cross-f ... (truncated, view full listing at source)
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