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Team Lead, Performance Optimization

Singapore · Job Posted March 20, 2026
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Job Description

We are looking for a Team Lead to build, mentor, and guide a hybrid team of Optimization Managers and Data Analysts. This team is key to driving customer growth, combining consultative merchant engagement with large-scale analytics, experimentation, and automated solutions. In this role, you’ll lead initiatives that optimize authorization rates, manage risk, and improve cost efficiency, while acting as a trusted advisor to merchants. Success requires a blend of people leadership, technical strategy, commercial insight, and cross-functional collaboration to ensure our products deliver maximum impact.

Job Responsibility

  • Build, coach, and scale a high-performing hybrid team of strategists and data analysts, setting clear expectations around quality, impact, and technical excellence
  • Lead merchant-facing optimization engagements, ensuring recommendations are data-driven, product-aligned, and deliver measurable improvements in risk, fraud, and cost efficiency
  • Guide the team in designing and implementing automated data solutions, utilizing Adyen products, big data platforms, and analytics tools to identify risks and opportunities. Champion scalable solutions (e.g., automated processes, dashboards, ETL pipelines) that improve operational efficiency without sacrificing quality
  • Own team prioritization across merchant work, up-skilling, and strategic initiatives
  • manage senior stakeholders and communicate clear trade-offs
  • Partner cross-functionally with Commercial, Product, Risk, and Operations to translate merchant insights into roadmap influence and position the team as subject matter experts in payments, fraud, and risk

Requirements

  • 7+ years of experience bridging Data Analytics/Data Science and payments
  • 2+ years of experience in a formal people leadership role, with a proven ability to lead teams that balance technical depth, customer impact, and operational excellence
  • Strong technical expertise in Python, SQL, PySpark, and scalable data processing
  • hands-on experience with big data platforms and ETL pipelines
  • Experience in automation, analytics tooling, and driving scalable solutions in a data-driven organization
  • Excellent stakeholder management skills, with the ability to influence Product and Commercial partners through data storytelling, structured thinking, and actionable insights
  • Clear communicator and confident presenter, able to engage senior external and internal stakeholders
  • Entrepreneurial mindset with strong prioritization skills, a high sense of ownership, and the ability to thrive in a fast-paced, global environment

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