Senior Data Product Manager

Capital One

McLean, VA, US
Mclean, va: $200,700 - $229,100; new york, ny: $21...
Enterprise data product team
Modern data ecosystem
Data governance
The Enterprise Data product team is focused on driving two primary outcomes we need from our data ecosystem to enable real-time intelligent experiences ensuring 1) data is well-managed and easy to govern and 2) data is easy to find, understand, and use with a foundation that can evolve over time

Job Summary

  • The Enterprise Data product team is focused on driving two primary outcomes we need from our data ecosystem to enable real-time intelligent experiences ensuring 1) data is well-managed and easy to govern and 2) data is easy to find, understand, and use with a foundation that can evolve over time.
  • We are building a data destination of platforms, products and processes that is well-managed and easy to govern and where data is easy to find, understand and use.
  • Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

Matching Summary

The Enterprise Data product team is focused on driving two primary outcomes we need from our data ecosystem to enable real-time intelligent experiences ensuring 1) data is well-managed and easy to govern and 2) data is easy to find, understand, and use with a foundation that can evolve over time.

Salary

McLean, VA: $200,700 - $229,100; New York, NY: $219,000 - $249,900; Richmond, VA: $182,500 - $208,300; Bonus/Equity: performance based incentive compensation; Benefits: comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Must-have

  • Enterprise Data product team
  • modern data ecosystem
  • data governance
  • data discovery and understanding
  • cross-functional team alignment

Nice-to-have

  • reimagining the status quo
  • innovative and sustainable customer experiences
  • data destination of platforms, products and processes

Key Requirements

  • 5 years of experience in Product Management
  • Bachelor's Degree in a quantitative field
  • Master's Degree in a quantitative field or MBA with quantitative concentration

Work Rights

Not specified

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