Head of Data, Customer Experience

This is Adyen 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.  For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. About the role: Adyen seeks a technical leader for its Customer & Developer Experience org, focused on end-to-end data strategy, instrumentation, tooling, and analytics.  You will lead a team of data engineers and analysts to own the architecture, quality, and governance of data, ensuring it is ready for advanced analytical and machine learning applications. This is a high-impact management role with a dual mandate: to define the data strategy and to build the ML/AI foundations necessary for future customer experiences. Your team will partner with Product to identify, design, and measure KPIs to track business performance. Your team will generate insights for the business, and over time provide self-serve tooling to empower non-technical functions.  Additionally, your team will be the enabler of new AI-powered product experiences that optimize key workflows and extend capabilities to customers via natural language. Your data strategy will create a foundation for high quality, accessible, and semantic understanding of our data. What You Will Accomplish: Architect a data strategy. Design and lead the implementation of a foundation for all customer and product data, explicitly integrating ML-ready feature stores and real-time experimentation systems. Establish definitions of success. Partner with Product to define and standardize clear, consistent success metrics, KPIs, and funnels across product teams to ensure all business and product decisions are driven by a shared, unambiguous understanding of performance and customer outcomes. Drive strategic influence. Transform the data platform into a key strategic asset, empowering teams with rigorous, actionable insights that directly inform product roadmap prioritization, investment decisions, and long-term business strategy. Scale High-Velocity Experimentation Infrastructure. Significantly increase the rigor, consistency, and speed of product testing by designing and operationalizing scalable A/B testing and experimentation platforms. Ensure Data Integrity and Enterprise Governance. Own and implement the technical standards, tooling, and governance processes necessary to maintain trusted, high-quality, and compliant data for all analytical and ML applications. Accelerate AI/ML Product Readiness. Drastically reduce the time-to-market for new AI-powered product features by leading the effort to establish high data consistency, semantic understanding, and the necessary feature engineering pipelines to unlock future agentic customer experiences. What You’ll Do: Data Strategy Define and champion Adyen’s CX data strategy , setting the long-term vision for data architecture, real-time instrumentation, and ML-ready feature stores. Drive technical alignment and execution with core Data Engineering teams to build robust, low-latency, and high-quality data pipelines, ensuring enterprise-grade governance. Partner with Product, Data Engineering, and Commercial teams to align technical platform strategy and metrics directly with key business outcomes. Performance, Insights & Experimentation Design, build, and scale the experimentation platform infrastructure (A/B testing, multi-arm bandit), ensuring rigorous statistical methods and high-velocity iteration for product teams. Define standardized, clear metrics to measure product performance, ad