Senior Technical Product Manager, Data Engineering & Data Science Solutions
S&P Global
Base: $100,000 to $149,000; bonus/equity: annual i...
Not specified
8+ years product management experience
Databricks delta lake mlflow sql expertise
Apache spark kafka airflow distributed processing
S&P Global is seeking a Senior Technical Product Manager for Data Engineering & Data Science Solutions to drive product strategy and develop critical data infrastructure components. The ideal candidate should possess extensive experience in product management within data platforms and a strong technical background in data engineering technologies
Job Summary
The role drives product strategy and roadmap for critical data infrastructure components including onboarding, storage, and core platform engines.
Candidates must possess hands-on experience with advanced Databricks features such as Delta Lake, MLflow, and Databricks SQL for end-to-end pipeline management.
S&P Global offers competitive pay, retirement planning, and a continuing education program with company-matched student loan contributions.
Matching Summary
Match Score: 85
S&P Global is seeking a Senior Technical Product Manager for Data Engineering & Data Science Solutions to drive product strategy and develop critical data infrastructure components. The ideal candidate should possess extensive experience in product management within data platforms and a strong technical background in data engineering technologies.
Salary
Base: $100,000 to $149,000; Bonus/Equity: Annual incentive plan eligible; Benefits: Health care, flexible downtime, continuous learning, retirement planning
Skills & Requirements
Must-have
8+ years product management experience
Databricks Delta Lake MLflow SQL expertise
Apache Spark Kafka Airflow distributed processing
Cloud data platforms AWS Azure GCP
MLOps model lifecycle management processes
Nice-to-have
Cross-functional team leadership skills
Vendor and partner relationship management
Enterprise data governance frameworks
Regulated industry financial services background
Innersource ecosystem strategy development
Key Requirements
Bachelor's degree in Computer Science or related field
8+ years of product management experience in data platforms
Strong technical background in data engineering technologies
Understanding of Machine Learning Operations (MLOps) processes