VP, AI/ML Data Science for Enterprise Solutions

S&P Global, Inc.; New York (NY); On-site; USD 177,000 - 350,000; Full time

Benefits offered by this job

Health & Wellness

Flexible downtime

Continuous learning

Job summary

S&P Global is seeking a senior leader to define and drive the AI/ML and applied data science roadmap for Enterprise Solutions, shaping production-grade models in a complex global financial-services setting.

You will own the full model lifecycle, partner with engineering and business teams, and guide other practitioners while ensuring explainability, resilience, and regulatory readiness across deployments.

Qualifications

• 25+ years of experience in analytics, data science, and ML in regulated financial services environments.
• Deep expertise in applied data science and ML across the full model lifecycle.
• Hands-on technical ability to work with data, code, ML frameworks, and datasets, collaborating with software engineering and platform teams.
• Experience delivering scalable, explainable AI/ML solutions that meet governance and regulatory requirements and deliver business value.

Responsibilities

• Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities.
• Design, build, and operate production-grade models for anomaly detection, forecasting, and behavior analysis in regulated environments.
• Own the full model lifecycle from problem framing to deployment, monitoring, and incident response.
• Partner with engineering, data platform, product, and business teams to translate analytical problems into scalable ML systems.

Skills

Analytics

Data science

Machine learning

Production-grade models

Regulated environments

Statistical modelling

Predictive analytics

Model deployment

Monitoring & optimization

Hands-on coding

Stakeholder management

Job description

S&P Global is seeking a senior leader to define and drive the AI/ML and applied data science roadmap for Enterprise Solutions, shaping production-grade models in a complex global financial-services setting.

You will own the full model lifecycle, partner with engineering and business teams, and guide other practitioners while ensuring explainability, resilience, and regulatory readiness across deployments.