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Data Science Director, Growth Engineering

SpringCube

Full-time - Director+

Fintech

United States, San Francisco - California

Published 3 weeks ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading global fintech and payments platform is seeking a Data Science Director to drive strategic insights and AI-driven analytics for executive leadership. The company empowers hundreds of thousands of businesses worldwide with integrated solutions for payments, treasury, spend management, and embedded finance. With a team of over 2,000 people across 26 offices and backed by world-class investors, the organization is at the forefront of building the global financial platform of the future.

Summary
The Data Science Director will lead the AI Analytics & CEO Office team, providing strategic data insights and decision-making support to executive leadership. This role focuses on macro-level impact, long-range forecasting, and building AI-driven sources of truth that guide global growth strategy.

Responsibilities

  • Serve as a strategic partner to the CEO, CFO, and Regional Business Leads, translating complex data landscapes into actionable business strategies
  • Own the global forecasting engine and develop sophisticated statistical models for annual planning and capital allocation
  • Lead causal inference frameworks to measure the impact of macroeconomic changes and internal interventions
  • Drive AI strategy, including leveraging Generative AI and Machine Learning to automate insights and optimize business efficiency
  • Scale and manage a high-performing team of data scientists and engineers, including recruitment, performance management, and fostering technical excellence
  • Translate complex model outputs into actionable business recommendations for executive stakeholders

Qualifications

  • Bachelor’s or Master’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Economics, or Engineering, or equivalent practical experience
  • 10+ years in data analytics, data science, or applied machine learning, including 5+ years leading high-performing teams
  • Hands-on experience with advanced forecasting, causal inference, or machine learning models in production
  • Proficiency in SQL, Python/R, and modern data stack tools (Airflow, Databricks, dbt, Snowflake)
  • Proven experience in leveraging Generative AI or agentic workflows for business intelligence and reporting
  • Strong communication and influence skills for working with executive-level stakeholders
  • Experience in fintech, global payments, or high-growth B2B SaaS environments is preferred
  • Familiarity with global macroeconomic indicators and their impact on transactional data is a plus

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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