Senior Data Analytics Manager — Enterprise Validation & Strategy

Capital One; Richmond (VA); On-site; USD 183,000 - 208,000; Full time

Job summary

Capital One seeks a Senior Data Analytics Manager to partner across teams, validate analytical tools, and drive data-driven decisions in a fast-paced environment. You will lead initiatives, mentor staff, and influence business strategy.

The role emphasizes validating methodologies, researching best practices, and communicating results via reports and presentations. Strong leadership and deep analytics experience are required.

Qualifications

• Bachelor’s Degree in quantitative field plus 7+ years of data analytics experience or Master’s with 5+ years of data analytics experience.
• 5+ years of experience performing professional data analysis work.
• 5+ years of experience leading and developing with open source data technologies.
• 2+ years of experience managing people.

Responsibilities

• 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.
• Understanding technical issues in analytical tools and assessing risks and opportunities.
• Independently researching and prototyping industry best practices for emerging analytical tools.
• Communicating results clearly via validation reports and presentations.
• Coaching and mentoring junior staff.

Skills

Leadership

Communication

Problem solving

Data analytics

Education

Bachelor’s Degree in quantitative field

Master’s Degree or PhD in Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or related field

Tools

Open source data technologies

Job description

Capital One seeks a Senior Data Analytics Manager to partner across teams, validate analytical tools, and drive data-driven decisions in a fast-paced environment. You will lead initiatives, mentor staff, and influence business strategy.

The role emphasizes validating methodologies, researching best practices, and communicating results via reports and presentations. Strong leadership and deep analytics experience are required.