Head of Data Customer Experience

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.

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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

This role is based out of our San Francisco office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so Adyen encourages you to reconsider and apply. We look forward to your application!

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.

Adyen is an equal opportunity employer. We do not discriminate based on race color ethnicity ancestry national origin religion sex gender gender identity gender expression sexual orientation age disability veteran status genetic information marital status or any legally protected status.

All your information will be kept confidential according to EEO guidelines.

What We Do

Adyen (ADYEN:AMS) is the financial technology platform of choice for leading companies. By providing end-to-end payments capabilities data-driven insights and financial products in a single global solution Adyen helps businesses achieve their ambitions faster. With offices around the world Adyen works with the likes of Meta Uber H&M eBay and Microsoft.

Why Work With Us

At Adyen everything we do is engineered for ambition. We started with payments at a time when providers offered services based on a patchwork of systems built on outdated infrastructure. Ambition demanded more. So we set off to build a financial technology platform for the modern era entirely in-house from the ground up.

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