The posting, in Adyen's own words
archived Sep 10, 2026This 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 this role
The future of Operations at Adyen is built on data-driven autonomy. As AI increasingly automates the mechanics of data retrieval and trend summarization, the real value shifts to the human layer: framing the right problems, validating rigorously, and turning insight into action. You'll lead an analytics and insights function of around 10 people: a Team Lead overseeing 1 Data Engineer and 4–5 technical analysts on Foundational Data Integrity, plus roughly 4 Business Analysts focused on Business Insights, reporting directly into you. You'll support an Operations organization of over 1,000 people, working closely with the Global Operations Leadership team to turn this function from a reporting service into the strategic engine behind how Ops leadership makes decisions.
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What you'll do
Lead and evolve the team: Set a clear vision for how the team supports business performance, planning, and decision-making, and build a high-performing group that balances responsiveness with strategic focus. Partner with senior leaders: Act as a trusted thought partner to Operations leadership on business performance, risks, opportunities, and trade-offs. Support business performance reviews with concise narratives, root-cause analysis, and clear recommendations. Own performance insight and business storytelling: Ensure the team delivers high-quality analysis that connects operational data to commercial and customer outcomes, with a consistent, leadership-ready view of KPIs, trends, exceptions, and emerging risks. Define metrics and improve decision quality: Establish robust KPI definitions, performance frameworks, and success measures, and improve consistency in how performance is measured across teams, projects, and reviews. Build scalable insight capabilities: Improve the team's operating model, standards, and ways of working to efficiently manage ad hoc demand alongside recurring insight cycles. Partner with data, operations, finance, product, and other functions to improve access to reliable insight, and drive continuous improvement in tools and reporting approaches.