Director of AI Analytics & CEO Office

Airwallex; San Francisco (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

Airwallex is looking for a Director of AI Analytics & CEO Office in San Francisco to lead a team focused on providing data-driven insights to support strategic decisions for the CEO and CFO. This full-time role requires deep expertise in data analytics and a proven ability to influence senior leadership.

The ideal candidate will have extensive experience in data science, management of technical teams, and proficiency in modern data tools. A strong emphasis on strategic forecasting and AI applications is crucial to succeed in this dynamic environment.

Qualifications

• 10+ years in data science, analytics, or applied ML.
• 5+ years managing high-performing technical teams.
• Experience with C-suite/VP level executives.

Responsibilities

• Act as a strategic partner for the CEO and CFO.
• Own Airwallex’s global forecasting engine.
• Lead development of causal inference frameworks.

Skills

Data science

Machine learning

Causal inference

Statistical modeling

SQL

Python/R

Education

Bachelor’s or Master’s degree in a quantitative field

Tools

Databricks

Airflow

Snowflake

dbt

Job description

About the team

We’re looking for a Director of AI Analytics & CEO Office to lead the team that provides Airwallex’s leadership with the data, tooling, and insights needed to amplify our rapid global growth. This team is the primary data advisor to the CEO and CFO, responsible for the models and insights that dictate where Airwallex places its biggest bets. While the Growth DS team focuses on acquisition and conversion, your team focuses on the "Big Picture"—macro impact, long‑range forecasting, and building the AI‑driven "source of truth" for our global leadership.

This is a full‑time role based in San Francisco.

Responsibilities

• Executive Advisory: Act as a strategic partner for the CEO, CFO, and Regional Business Leads, translating complex data landscapes into actionable business strategies.

• Strategic Forecasting & Planning: Own Airwallex’s global forecasting engine. You will oversee the development of sophisticated statistical models and tools that aggregate top‑down and bottom‑up forecasts to drive annual planning and capital allocation.

• Macro & Causal Analysis: Lead the development of causal inference frameworks to quantify the impact of macroeconomic shifts and internal interventions on our global ecosystem.

• AI Strategy: Drive the roadmap for leveraging Generative AI and Machine Learning to automate insights, optimize business efficiency, and create proprietary data products.

• Team Leadership: Scale and lead a world‑class team of data scientists and engineers. You will be responsible for talent acquisition, performance management, and cultivating an environment of technical excellence and proactive critical thinking.

Who You Are

• Experienced Growth Leader: 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.

• Technical: You have deep expertise in causal inference, time‑series forecasting, and applied ML, and you aren’t afraid to get into the weeds of a Databricks notebook or a dbt model. Expert‑level proficiency in SQL and Python/R, with experience overseeing modern data stacks (Airflow, Databricks, dbt, Snowflake).

• Strategic Operator: Comfortable navigating business trade‑offs, prioritizing initiatives for outsized growth impact.

• Builder Mindset: Thrives in fast‑scaling environments with high ambiguity and is excited to build teams, systems, and best practices from the ground up.

• Influencer: Exceptional verbal and written communication skills with the ability to influence executive‑level stakeholders and translate complex model results into actionable business insights.

Minimum qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., Data Science, Computer Science, Statistics, Economics, Engineering) or equivalent practical experience.

• 10+ years of experience in data analytics, data science, or quantitative strategy, with 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.

Preferred qualifications

• 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.

Equal opportunity

Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.