About this role
Senior Technical Product Manager, Data Engineering & Data Science Solutions at S&P Global. Location: New York or Boulder or Princeton. Role: driving strategy, leading teams, defining requirements Requirements: Bachelor's degree or equivalent experience, 8+ years product management for data platforms, hands-on Databricks (Delta Lake, MLflow, Databricks SQL), Apache Spark, Kafka, Airflow, cloud platforms (AWS/Azure/GCP), MLOps and Agile/DevOps experience. Category: Product Management Seniority: Senior Level Tools: Databricks, Delta Lake, MLflow, Databricks SQL, Apache Spark, Kafka, Airflow, AWS, Azure, Google Cloud Platform, Agile, Scrum, DevOps, MLOps Commitment: Full Time Workplace: Onsite Languages: English