The opportunity
Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.
What you'll do
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.
What they're looking for
- 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.
