Senior Manager Data Analytics - Global Payment Network - Data Governance and Programs

About the role

Capital One’s Data Governance and Pricing (DGAP) team within Global Payment Networks (GPN) seeks a Senior Manager, Data Analysis to manage data-adjacent risks such as Network Conflict Risk (NCR), External Data Sharing (XDS), SCAN Findings, Privacy, Feature and Script Governance, GDPR, CCPA, Interchange Fee Prohibition Act, and related obligations. The role requires a blend of data, risk, and project management experience to design overarching programs, establish controls, and mitigate risks across GPN.

Responsibilities

• Refine an enterprise-wide analytical tools validation framework
• Plan and execute validation projects
• Assess the quality and risk of analytical tool methodologies and their usage within processes
• Understand technical issues in analytical tools and assess tool risks and opportunities
• Independently research, identify, and prototype industry best practices for emerging analytical tools
• Communicate results clearly and concisely via validation reports and presentations
• Leverage education, colleagues, and training to develop solutions to business problems
• Coach and mentor junior staff

Requirements

• Bachelor’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or related) plus at least 7 years of data analytics experience, or
• Master’s degree plus at least 5 years of data analytics experience, with required degree obtained on or before the scheduled start date
• At least 5 years of professional data analysis work
• At least 5 years of experience leading and developing with open source data technologies
• At least 2 years of experience managing people

Preferred Qualifications

• Master’s degree or PhD in Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or related field
• At least 7 years of hands-on statistical or econometrics work
• At least 5 years of experience manipulating and analyzing large data sets
• At least 5 years of experience in the financial services industry
• At least 5 years of experience developing statistical or econometric models
• At least 5 years of experience validating statistical or econometric models
• At least 2 years of experience with data governance
• At least 2 years of experience with predictive analytics

Pay

Full-time annual salary ranges by location (actual offer may vary):

• McLean, VA: $200,700 – $229,100
• Richmond, VA: $182,500 – $208,300
• Chicago, IL: $182,500 – $208,300
• Riverwoods, IL: $182,500 – $208,300

Eligible for performance-based incentive compensation (cash bonuses and/or long-term incentives).