Senior Data Product Manager
Capital One
Manager, Product Management, Card Data
Capital One
full-time
Posted on:
Location Type: Office
Location: McLean, VA • Illinois, Virginia • 🇺🇸 United States
Visit company websiteSalary
💰 $144,000 - $180,800 per year
Job Level
Mid-LevelSenior
About the role
- Responsible for developing, processing, managing all stages of Credit Card data for the organization
- Work closely with data analysts, data scientists, engineers, architects, and business stakeholders to understand customer needs and provide the right data solutions
- Shape the technical infrastructure and user experience of data across the company
- Manage sourcing, rationalizing, standardizing, and publishing well governed Credit Card data for analytical use cases
- Manage 500+ data flows, 30+ data tables to serve thousands of internal business stakeholders and operational use cases
Requirements
- At least 3 years of experience working in Product Management
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) OR A Master's Degree in a quantitative field or an MBA with a quantitative concentration
- Experience translating business strategy and analysis into consumer facing digital products (preferred)
- At this time, Capital One will not sponsor a new applicant for employment authorization for this position
Benefits
- Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website.
- This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data managementdata analysisdata governancedata processingdata architecturedata solutionsdata flowsdata tablesquantitative analysisproduct management
Soft skills
collaborationcommunicationstakeholder managementproblem-solvinganalytical thinking
Certifications
Bachelor's DegreeMaster's DegreeMBA
