Sr. Data Analysis Manager

Capital One • McLean, VA

2d • $182,500 - $249,900 • Hybrid

About The Position

At Capital One, data is central to its business and data-driven decision-making. As a Senior Manager, you will partner cross-functionally to validate business-impacting analytical tools, strengthen your technical and analytical skills, and work with leaders to influence business strategies. The role is part of a fast-paced, entrepreneurial environment involving multiple concurrent projects, independent work, and teamwork.

The IFX Data Intelligence & Insights (DI2) team supports Capital One’s Tech and AI leadership. It builds end-to-end interactive web applications, intelligent automation pipelines, and experimentation frameworks for operational health across more than 4,000 engineers and leaders. The team owns IFX OneDashboard, a portfolio of 36 custom products with more than 100,000 annual views, and develops data products, platforms, guardrails, and visualizations for technology insights.

The role focuses on analytical-tool validation: developing and executing validation projects, evaluating methodologies and risks, researching and prototyping industry practices for emerging tools, and communicating findings through reports and presentations. The manager also coaches and mentors junior staff. This is a hybrid position, with on-site presence required according to Capital One’s hybrid policy at the designated office location.

Requirements

• Currently hold or be pursuing a bachelor's degree in a quantitative field such as Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related field, plus at least 7 years of data analytics experience; or currently hold or be pursuing a master's degree plus at least 5 years of data analytics experience. The required degree must be obtained on or before the scheduled start date.
• At least 5 years of experience performing 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.
• Strong problem-solving and conceptual-thinking abilities, as well as communication, interpersonal, and leadership skills.
• Ability to handle multiple concurrent projects in a fast-paced environment, working independently and in teams.

Nice To Haves

• Master’s degree or PhD in Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field.
• At least 7 years of hands-on statistical or econometric work.
• At least 5 years of experience manipulating and analyzing large datasets.
• 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.

Responsibilities

• Refine an enterprise-wide analytical tools validation framework.
• Plan and execute validation projects.
• Assess the quality and risk of analytical tool methodologies across Capital One, including how tools are used within relevant processes.
• Understand technical issues in analytical tools and assess their risks and opportunities.
• Independently research, identify, and prototype industry best practices for emerging analytical tools.
• Communicate results clearly and concisely through verbal communication, written validation reports, and presentations.
• Use education, colleagues, and training opportunities to develop solutions to business problems.
• Coach and mentor junior staff.
• Partner cross-functionally with teams and work with leaders to influence business strategies.

Benefits

• Comprehensive health, financial, and other benefits supporting total well-being.
• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager