Data Science Director, Growth

AirwallexSan Francisco, CA
$300,000 - $320,000Onsite

About The Position

Airwallex is seeking a Director of AI Analytics & CEO Office to lead a team that provides Airwallex’s Leadership with the data, tooling, and insights needed to amplify our rapid global growth. This team serves as the primary data advisor to the CEO and CFO, responsible for the models and insights that dictate Airwallex's strategic investments. While the Growth DS team focuses on acquisition and conversion, this role's team concentrates on the "Big Picture" – macro impact, long-range forecasting, and building the AI-driven "source of truth" for global leadership. This is a full-time role based in San Francisco.

Requirements

  • 10+ years in data science, analytics, or applied ML, including 5+ years leading teams at scale in top-tier tech, fintech, or growth-driven businesses.
  • Deep expertise in causal inference, time-series forecasting, and applied ML.
  • Expert-level proficiency in SQL and Python/R, with experience overseeing modern data stacks (Airflow, Databricks, dbt, Snowflake).
  • Comfortable navigating business trade-offs, prioritizing initiatives for outsized growth impact.
  • Thrives in fast-scaling environments with high ambiguity and is excited to build teams, systems, and best practices from the ground up.
  • Exceptional verbal and written communication skills with the ability to influence executive-level stakeholders and translate complex model results into actionable business insights.
  • Bachelor’s or Master’s degree in a quantitative field (e.g., Data Science, Computer Science, Statistics, Economics, Engineering) or equivalent practical experience.
  • At least 5 years managing high-performing technical teams.
  • Demonstrated experience working directly with executive leadership (C-suite/VP level) to influence corporate strategy using data.
  • Hands-on experience building and deploying advanced forecasting, causal inference, or machine learning models in a production environment.
  • Proficiency with modern data stack tools (SQL, Python, and cloud data warehouses like Snowflake or Databricks).
  • Proven track record of productionalizing Generative AI applications or agentic workflows to automate business intelligence and reporting.

Nice To Haves

  • Master or advanced degree in a highly quantitative discipline (e.g., Econometrics, Statistics, Machine Learning).
  • Experience working in Fintech, global payments, or high-growth B2B SaaS environments.
  • Experience operating within a "CEO Office" or corporate strategy function, balancing deep technical execution with high-level business acumen.
  • Familiarity with global macroeconomic indicators and their impact on cross-border transactional data.

Responsibilities

  • Act as a strategic partner for the CEO, CFO, and Regional Business Leads, translating complex data landscapes into actionable business strategies.
  • Own Airwallex’s global forecasting engine, overseeing the development of sophisticated statistical models and tools that aggregate top-down and bottom-up forecasts to drive annual planning and capital allocation.
  • Lead the development of causal inference frameworks to quantify the impact of macroeconomic shifts and internal interventions on our global ecosystem.
  • Drive the roadmap for leveraging Generative AI and Machine Learning to automate insights, optimize business efficiency, and create proprietary data products.
  • Scale and lead a world-class team of data scientists and engineers, responsible for talent acquisition, performance management, and cultivating an environment of technical excellence and proactive critical thinking.
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