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Global Head, Data Science

S&P Global

Recently Verified
Data ScienceCredit RatingExecutive / VP+HybridRating Agency

Ideal for senior data science leaders wanting to shape ML strategy at a leading financial data and analytics firm.

AI β†’ Finance

Location

New York, NY

Salary Range

$177,036 – $300,000

Posted

Mar 21, 2026

Insider Signals

Beta
πŸ“ŠActive Hiring

S&P Global has had 8 hiring events in the last 30 days β€” they're actively building.

Company AI Context

AI Maturity

established

AI Team Size

Global data science organization spanning Ratings, Market Intelligence, and Mobility divisions

Tech Stack

pythonsparkkubernetesawssnowflaketableau

Recent News

S&P Global has been integrating ML across its divisions since acquiring IHS Markit in 2022, embedding AI into ratings decisions, market intelligence, and ESG analytics.

Lead and scale data science strategy across S&P Global, overseeing ML systems, model governance, and a global team in regulated financial environments.

## About the Role S&P Global is seeking a Global Head of Data Science to lead and scale data science initiatives across the organization. This executive role oversees data science strategy, team leadership, and the delivery of production ML systems in regulated financial environments. ## Responsibilities - Define and execute the global data science strategy across S&P Global divisions - Lead and mentor a global team of data scientists and ML engineers - Own the full model lifecycle from development through production monitoring - Design explainable models suitable for regulated financial settings - Drive innovation in machine learning, time-series analysis, and statistical modeling - Collaborate with business units to identify high-impact data science opportunities - Ensure compliance with financial regulations and model governance standards ## Requirements - 20+ years in analytics, data science, or ML systems in production - Deep expertise in statistics, machine learning, and time-series analysis - Full model lifecycle ownership experience - Experience in financial services or regulated, high-availability environments - Ability to design explainable models for regulated settings - Strong executive leadership and team management capabilities

Skills & Technologies

data science strategymachine learningtime-series analysismodel governanceteam leadershipfinancial regulationsexplainable AI

Best Backgrounds

  • data science leadership
  • ML engineering management
  • quantitative finance
  • financial technology

Related Titles to Explore

  • Chief Data Scientist
  • VP Data Science
  • Head of ML
  • Director of Analytics

Career Bridge Playbook

Beta

Career paths into this role

Head of Data Science
VP of ML/AI
Director of Data Science
Chief Data Scientist

Where this role leads

Chief Data Officer
Chief AI Officer
Managing Director

Transition Difficulty

high

Key Skill Gaps to Close

  • regulated ML compliance requirements
  • credit rating methodology
  • global team management at scale
  • explainable AI for financial services

Skills used in this role

Technical

data-science-strategymachine-learningtime-series-analysismodel-governancestatistical-modelingexplainable-aiml-architecture

Domain

credit-ratingsfinancial-intelligenceesg-analyticsregulated-mlmodel-risk-management

Soft Skills

executive-leadershipglobal-team-managementstrategic-visionboard-communication

Interested in this role?

Apply directly on the company's career page.

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