Description
The future of Operations at Adyen is built on data-driven autonomy.
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.
Responsibilities:
- 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.
- Own performance insight and business storytelling: Ensure the team delivers high-quality analysis that connects operational data to commercial and customer outcomes.
- Define metrics and improve decision quality: Establish robust KPI definitions, performance frameworks, and success measures.
- 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.
What good looks like:
- Strategic Influence: Operations leaders rely on the team for judgment and decision support, not just for raw numbers.
- Actionable Reviews: Business reviews are sharper, simpler, and consistently result in clear leadership actions.
- Trusted Data: KPI definitions are clear, consistently used across the organization, and grounded in sound logic.
- AI Integration: Generative AI, automation, and conversation analytics tools are successfully leveraged to accelerate reporting mechanics.
Requirements:
- Leadership & Team Building: 5+ years of experience managing analytics teams in high-growth or transforming organizations.
- Stakeholder Credibility: A proven track record of influencing senior stakeholders and translating complex data into clear, persuasive business narratives.
- Operational Judgment: Strong commercial instincts with the ability to identify which metrics truly drive value and which are noise.
- Technical Literacy: Enough fluency in SQL, data modelling, and modern BI tooling to have a credible, detailed technical dialogue.
- Intellectual Rigor: The ability to challenge weak assumptions or misleading conclusions constructively and with authority.
- Change Management: Experience leading teams through shifts in operating models and raising performance standards.