Senior Technical Product Manager, Data Engineering & Data Science Solutions

S&P Global

Base: $100,000 to $149,000; bonus/equity: annual i...
8+ years product management experience
Advanced databricks features expertise
Apache spark and kafka experience
The role involves driving product strategy for critical data infrastructure components including onboarding, storage, and core platform engines

Job Summary

  • The role involves driving product strategy 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.
  • S&P Global offers competitive pay, retirement planning, and a continuing education program with company-matched student loan contributions.

Matching Summary

The role involves driving product strategy for critical data infrastructure components including onboarding, storage, and core platform engines.

Salary

Base: $100,000 to $149,000; Bonus/Equity: Annual incentive plan eligible; Benefits: Health care, flexible downtime, continuous learning, family perks

Skills & Requirements

Must-have

  • 8+ years product management experience
  • Advanced Databricks features expertise
  • Apache Spark and Kafka experience
  • Cloud data platforms AWS Azure GCP
  • MLOps processes and lifecycle management

Nice-to-have

  • Experience with data governance frameworks
  • Background in financial services or fintech
  • Strong cross-functional team leadership
  • Vendor and partner relationship management
  • Regulatory compliance understanding

Key Requirements

  • Bachelor's degree in Computer Science or related field
  • 8+ years of product management experience
  • US candidates only for salary details

Work Rights

Not specified

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