Senior Manager, Data Analysis - Data Management Risk and Analysis

Capital One; McLean (VA); On-site; USD 200,700 - 229,100; Full time

Job summary

Capital One seeks a Senior Manager in Data Analysis within Data Management Risk and Analysis to partner with business and technology teams, validate analytical tools, and shape risk-aware data practices. The role emphasizes leadership, proactive risk challenges, and governance across divisions.

The position involves building a robust validation framework, mentoring staff, and communicating complex results to executives while safeguarding data assets in a fast-moving financial services

Qualifications

• Bachelor’s Degree in a quantitative field plus 7+ years of data analytics experience, or Master’s with 5+ years.
• At least 5 years of experience in professional data analysis work.
• At least 2 years of experience managing people.

Responsibilities

• Refining an enterprise-wide analytics tools validation framework and planning validation projects.
• Assessing quality and risk of analytical tool methodologies across the organization.
• Communicating results clearly through validation reports and presentations.
• Coaching and mentoring junior staff and partnering with business and tech teams.
• Perform gap assessments and propose actionable recommendations to drive transformation and compliance.

Skills

Data analytics

Leadership

Communication

Education

Bachelor’s Degree in a quantitative field

Master’s Degree in a quantitative field

Tools

Open source data technologies

Job description

Senior Manager, Data Analysis – Data Management Risk and Analysis

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Senior Manager, you will partner cross‑functionally with teams throughout the company to validate business impacting analytical tools. You will enhance your technical and analytical skills, while also working with leaders to influence business strategies. With a network of hundreds of Data Analysts, Quants, and Data Scientists, challenging projects with an eye on the bottom line and a focus on work/life balance, we’ve created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential.

Specifically in the role, as a Second Line Data Risk advisor, you will be acting as a trusted data risk advisor to divisions (first line business units) and technology partners. You will leverage your deep expertise in data risk management to provide effective challenges, ensuring the company’s data management practices align with both regulatory requirements and enterprise risk appetite. This role is an opportunity to take on key responsibilities in identifying potential data risks, influencing key stakeholders, and assessing data risk across Capital One divisions. As part of the second line of defense, you will engage with product and technology partners, providing insight and influencing the integration of data risk controls into day‑to‑day operations. You’ll bring a proactive, innovative mindset to designing processes and performing risk assessments to safeguard Capital One's data management environment.

On a given day you will be:

• Refining a new Enterprise‑wide analytical tools validation framework
• Planning and executing validation projects
• Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes
• Understanding technical issues in analytical tools and assessing tools risks and opportunities
• Independently researching, identifying, and prototyping industry best practices for emerging analytical tools
• Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations
• Leveraging education, colleagues and training opportunities to develop solutions to business problems
• Coaching and mentoring junior staff
• Trusted Data Risk Advisor: Build strong relationships with business and technology partners to become a trusted data risk advisor, providing insight into data management risks, guidance on technical control needs to manage data, and shaping risk mitigation strategies across the enterprise.
• Gap Assessments & Recommendations: Perform gap assessments to identify weaknesses in current data management controls/processes, technical designs, architecture data flow diagrams, and propose actionable recommendations to drive organizational transformation and compliance.

An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. This position will be in a fast‑paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams.

Basic Qualifications

• Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will 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

Preferred Qualifications

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

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

McLean, VA: $200,700 - $229,100 for Sr. Data Analysis Manager

Richmond, VA: $182,500 - $208,300 for Sr. Data Analysis Manager

New York, NY: $219,000 - $249,900 for Sr. Data Analysis Manager

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.

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. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace.

Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23‑A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.