Senior Data Platform Product Manager — ML Ops & Analytics

S&P Global; Princeton (NJ); On-site; USD 100,000 - 149,000; Full time

Job summary

S&P Global is seeking an experienced Product Manager to lead data infrastructure strategy across onboarding, storage, and core platform engines in Princeton, NJ. You will drive cross‑functional teams to deliver analytics infrastructure and enterprise data solutions with a focus on reliability and scale.

You will collaborate on MLops, data quality, governance, and ontology integration while translating business needs into technical specs and leading governance guardrails.

Qualifications

• 8+ years in product management focused on data platforms, analytics infrastructure, or enterprise data solutions.
• Hands-on Databricks experience with Delta Lake, MLflow, and Databricks SQL.
• Strong data engineering knowledge with Spark, Kafka, Airflow or similar frameworks.
• Experience with cloud platforms: AWS, Azure, or GCP.
• Understanding of MLOps processes: deployment, monitoring, lifecycle management.
• SDLC/Agile/DevOps knowledge.
• Bachelor’s degree in CS/Engineering/Data Science or equivalent.

Responsibilities

• Drive product strategy and roadmap for data infrastructure components like onboarding, storage, and core engines.
• Lead cross-functional teams to deliver data engineering capabilities, admin utilities, and data quality solutions.
• Own the vision for disaster recovery and resiliency frameworks to ensure platform reliability.
• Define ontology integration strategy to enhance semantic data capabilities.
• Collaborate on implementing MLOps for model lifecycle management.
• Develop innersource ecosystem strategy for cross-team collaboration.
• Partner with stakeholders to define requirements for common data pipelines and tooling.
• Champion data quality initiatives across all data processing workflows.

Skills

Data platforms

Databricks features

Spark

Cloud platforms

MLOps

SDLC

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

Databricks Delta Lake

MLflow

Databricks SQL

Apache Spark

Kafka

Airflow

Job description

S&P Global is seeking an experienced Product Manager to lead data infrastructure strategy across onboarding, storage, and core platform engines in Princeton, NJ. You will drive cross‑functional teams to deliver analytics infrastructure and enterprise data solutions with a focus on reliability and scale.

You will collaborate on MLops, data quality, governance, and ontology integration while translating business needs into technical specs and leading governance guardrails.