Adyen Senior AI Governance Counsel at Adyen to build and operate enterprise AI governance framework. Translate AI laws and frameworks into policies and partner across teams to ensure responsible AI use.
Responsibilities
We are looking for a Senior AI Governance Counsel to join our Global DPO Office and help build, roll out, and operate Adyen's enterprise AI governance framework. Sitting within the group that owns our global privacy program and AI governance, and supports incident response and management as well as data governance, you will be the driving force in shaping our strong foundations into a consistent, enterprise-wide AI governance program that scales with Adyen's ambitions - helping the business innovate boldly and responsibly with AI.
This is a builder role. You will translate the EU AI Act, the NIST AI Risk Management Framework, GDPR, the CCPA/CPRA, and emerging global AI and privacy requirements into pragmatic policies, standards, and assessment workflows - and partner with Enterprise Risk, Security, Product, Compliance, Legal, Regulatory, Engineering, and Data Science to make them real. You will have a particular focus on generative and agentic AI use cases, and on giving first-line teams the parameters and tooling they need to evaluate their own models and outcomes.
Help build, roll out, and embed Adyen's enterprise-wide AI governance framework, policies, and standards, driving consistency as AI adoption scales across the business.
Design and operationalize AI risk and impact assessments across the AI lifecycle - from intake and risk classification through deployment, monitoring, and decommissioning - with particular focus on generative and agentic AI use cases.
Interpret the EU AI Act, the NIST AI Risk Management Framework, and other applicable AI laws across Adyen's global footprint, and translate them into practical policies, playbooks, and procedures for first-line teams.
Support the teams that maintain Adyen's AI inventories by defining governance parameters and requirements for cataloguing and risk-classifying AI tools and use cases.
Develop enterprise guidance and a consistent approach for evaluating AI systems, covering performance, fairness, and explainability expectations appropriate to each use case's risk profile.
Design simple, proportionate, risk-tiered processes and “green paths” that make responsible AI the easy path for fast-moving teams - using clear risk tiers and practical incentives so the compliant route is also the most convenient one.
Translate model-evaluation techniques - including fairness, bias, and adversarial (red-teaming) testing - into clear procedures that technology teams can apply to their own models and tools.
Partner with Enterprise Risk, Security, Product, Compliance, Legal, Regulatory, and Engineering to run the AI governance program and align on controls, escalation, and human-oversight protocols.
Advise on privacy considerations across the AI lifecycle, coordinating with the wider DPO Office on the interaction between AI assessments and data protection.
Design and deliver AI governance training and promote AI literacy and a culture of responsible, accountable AI use.
Qualification
7+ Years in Governance/PrivacyLegal / Risk QualificationRegulated Sector BackgroundTechnical KnowledgeAI Frameworks & Privacy LawsGenerative & Agentic AI ExperienceModel Evaluation & TestingLeadership & CollaborationRegulatory TranslatorCross-Functional InfluenceExecution & OwnershipCertifications (Preferred)
Required
7+ Years in Governance/Privacy: Proven background building, deploying, and managing global AI or privacy governance programs, ideally within regulated, multi-jurisdictional environments.
Legal / Risk Qualification: Qualified lawyer or governance professional with substantial experience in AI governance, privacy, or technology risk. (US jurisdiction admission is a plus).
Regulated Sector Background: Prior experience in payments, financial services, or other heavily regulated industries is preferred.
Technical Knowledge:
AI Frameworks & Privacy Laws: Solid working knowledge of the EU AI Act, NIST AI RMF, and ISO/IEC 42001, along with global privacy regulations (GDPR, CCPA/CPRA).
Generative & Agentic AI Experience: Familiarity with LLMs, autonomy levels, human-in-the-loop design, and tool/action permissioning.
Model Evaluation & Testing: Understanding of model evaluation techniques including fairness, bias, drift, performance, explainability, and red teaming, and the ability to translate them into practical policies.
Leadership & Collaboration
Regulatory Translator: Skilled at converting complex, fast-evolving AI regulations into practical, business-aligned guidance for non-technical stakeholders.
Cross-Functional Influence: Proven ability to partner with and drive adoption across Risk, Security, Product, Compliance, Legal, and Engineering without relying on direct authority.
Execution & Ownership: Strong drafting, communication, and stakeholder-management skills paired with a proactive, builder mindset.
