Head of Growth Data Science
Airwallex · US - San Francisco
About this role
## About Airwallex Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses—including McLaren Racing, Qantas, SHEIN, and TikTok—use Airwallex to run financial operations or build and monetize financial products. Airwallex is the regulated backbone behind global payments, with a presence across North America, Europe, the Middle East, and Asia-Pacific. The company is co-headquartered in San Francisco and Singapore, with 2,300+ people across 27 offices. ## About the Team Airwallex is seeking a **Head of Growth Data Science** to lead a team responsible for using data, experimentation, and advanced analytics to accelerate global growth. The Growth Data Science team partners closely with **Product, Marketing, Sales, and regional business leaders** to identify growth opportunities across the customer lifecycle—from acquisition and activation to conversion, retention, and expansion. This is a **full-time role based in San Francisco**. ## Responsibilities - Act as a strategic data partner to senior leaders across Growth, Product, Marketing, Sales, and regional businesses - Translate complex analyses into clear recommendations that shape strategy and investment decisions - Establish a consistent, trusted framework for measuring growth performance across markets, channels, and customer segments - Lead analytical efforts across the growth funnel: acquisition, activation, conversion, retention, and expansion - Identify opportunities to improve channel efficiency, customer journeys, pricing, and go-to-market performance - Develop segmentation, propensity, attribution, and optimization models to inform growth initiatives - Build and scale experimentation frameworks to measure impact of product, marketing, and commercial initiatives - Lead causal inference work to distinguish correlation from true incremental impact - Establish best practices for experiment design, measurement, interpretation, and decision-making - Own forecasting and planning models supporting growth targets, resource allocation, and business reviews - Develop metrics, dashboards, and analytical tools for timely visibility into growth performance - Partner with Finance and business leaders to connect operating drivers with financial outcomes - Define the roadmap for applying machine learning and Generative AI to growth analytics and decision-making - Build intelligent tools that automate insight generation, improve targeting, and enhance operational efficiency - Partner with engineering and data platform teams to productionize models and analytical products ## Who You Are - **Growth-oriented leader** with 10+ years of experience in data science/analytics/applied ML/quantitative strategy, including 5+ years leading teams - **Strong technical foundation** in experimentation, causal inference, forecasting, applied machine learning, SQL, and Python or R - **Strategic operator** who can prioritize ambiguous problems and focus teams on measurable growth impact - **Hands-on builder** who can engage deeply with technical work while building scalable systems and frameworks - **Executive influencer** who communicates clearly and influences senior stakeholders through rigorous analysis - **Customer-centric thinker** passionate about using data to improve customer experiences and business outcomes ## Minimum Qualifications - Bachelor’s or Master’s degree in a quantitative field (or equivalent practical experience) - 10+ years
Listing freshness
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