Head of Growth Data Science

The role

You will lead a data science team that uses data, experimentation, and advanced analytics to accelerate global growth. You will partner with product, marketing, and sales leaders to identify opportunities and build analytical products and machine learning roadmaps.

What you will do

• Lead the team responsible for using data, experimentation, and advanced analytics to accelerate global growth.
• Partner with Product, Marketing, Sales, and regional business leaders to identify opportunities.
• Define a consistent measurement framework across markets, channels, and customer segments.
• Set the roadmap for machine learning, generative AI, experimentation, causal inference, forecasting, and intelligent decision systems.
• Build and scale analytical products, models, and tools.
• Partner with engineering and data platform teams to productionize models and analytical products.
• Build a high-performing, technically rigorous team.

Required qualifications

• 10+ years of experience in data science, analytics, quantitative strategy, or applied machine learning.
• At least 5 years of experience managing and developing high-performing technical teams.
• A bachelor's or master's degree in a quantitative field such as Data Science, Computer Science, Statistics, Economics, Mathematics, or Engineering, or equivalent practical experience.
• Deep expertise in experimentation, causal inference, forecasting, applied machine learning, SQL, and Python or R.
• Experience partnering with executive and senior business leaders to influence growth strategy.
• Hands-on experience with experimentation, causal inference, forecasting, or machine learning in a production environment.
• Strong proficiency in SQL and Python or R.
• Experience working with modern data platforms and tooling, such as Databricks, Snowflake, dbt, Airflow, or equivalent.
• A proven ability to translate analytical insights into measurable business outcomes.
• Experience productionizing generative AI applications, intelligent analytics tools, or agentic workflows.
• The ability to prioritize ambiguous problems, balance trade-offs, and focus teams on initiatives with measurable growth impact.
• The ability to engage deeply with technical work while building scalable systems, analytical frameworks, and team practices.

Nice to have

• An advanced degree in Econometrics, Statistics, Machine Learning, Computer Science, Economics, or a related quantitative discipline.
• Experience in fintech, payments, financial services, or high-growth B2B SaaS.
• Experience leading data science teams across multiple growth functions, markets, or product lines.
• Experience with customer lifecycle analytics, marketing measurement, attribution, pricing, or sales optimization.
• Familiarity with global payments, cross-border commerce, and regional differences in customer and market behavior.
• Experience building data products or decision systems used by senior executives and cross-functional teams.

About the company

Airwallex is an AI-native financial operating system for a real-time, intelligent economy. It provides financial infrastructure for over 675,000 businesses globally.