Head of Data, Customer Experience

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, adoption, and customer impact across the entire customer lifecycle. - Translate complex data systems, platform architecture, and AI/ML readiness into clear, executive-ready recommendations that influence product roadmaps, prioritization, and business investment decisions. #### Cross-Functional Leadership

• Act as a trusted, technical partner to senior leaders, providing executive-ready insights that connect platform health and customer behavior to strategic outcomes. - Drive cross-functional alignment by unifying teams around shared, consistent metrics, data strategy, preventing fragmentation of definitions, dashboards, and reporting. #### Team & Capability Building

• Lead, coach, and grow a high-performing team of embedded data engineers and analysts across the organization. - Establish best-in-class expectations for data engineering standards, analytical rigor, strategic storytelling, and measurable business impact. ### Who You Are:

• 10+ years of experience leading technical data, analytics, or data engineering teams, ideally focused on high-volume, real-time product data and ML readiness. - Proven ability to bring structure and clarity to complex, decentralized data environments. - Expert-level technical foundation, including fluency in SQL, Python (or similar scripting languages), and hands-on experience designing and deploying data pipelines and ML-ready feature stores. - Proven experience working hands-on with AI/ML products, including understanding model deployment, serving infrastructure, and the data lifecycle needed to power agentic customer experiences. - Demonstrated ability to connect technical data strategy (architecture, governance, platform) directly to business outcomes and product prioritization. - Comfortable operating in global, matrixed organizations where influence, alignment, and judgment are critical. ### What Sets You Apart:

• Builder & Unifier: You enjoy turning fragmented systems into cohesive, scalable foundations. - AI Native: You have incorporated AI tools and thinking into your daily professional life, and are excited for its ability to improve outcomes for your team and customers. - Results-Driven: You focus on outcomes, learning velocity, and measurable impact—not vanity metrics. - Clear Communicator: You translate complexity into clarity and align diverse stakeholders around shared goals. ### Location

This role is based out of our Chicago office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles. ### What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.