Team Lead, Performance Optimization

Posted 19 Hours Ago
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Shanghai, Shanghai Municipality, Shanghai
Hybrid
Senior level
Fintech • Payments • Financial Services
Meet the financial technology platform helping the world’s leading businesses achieve their ambitions faster.
The Role
Lead and develop a hybrid team of Optimization Managers and Data Analysts to enhance customer growth through data-driven solutions, optimizing risk and cost efficiency.
Summary Generated by Built In

This 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.

Team Lead, Performance Optimization

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.

What you’ll do

  • 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

Who you are

  • 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

Our Diversity, Equity and Inclusion commitments 

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!

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.

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

Top Skills

Big Data Platforms
Etl Pipelines
Pyspark
Python
SQL
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The Company
HQ: Amsterdam
4,568 Employees
Year Founded: 2006

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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Adyen Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We believe that in-person collaboration is the best route to building genuine connection. We’re an office-first company that offers flexibility when needed. We trust our team to act with autonomy and make good choices.

Typical time on-site: Flexible
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HQAmsterdam, NL
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Kuala Lumpur, Malaysia
London, GB
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Adyen Madrid
Mumbai, Maharashtra
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New York, NY
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San Francisco, CA
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São José dos Campos, São Paulo
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São Paulo, São Paulo
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Singapore
The Hills, New South Wales
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Toronto, Ontario
Warsaw, PL
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