Senior Data Analytics & Validation Lead

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

Benefits offered by this job

Health benefits

Performance-based incentives

Career development opportunities

Job summary

Capital One is seeking a Senior Manager Data Analysis-Card Alternative Data to lead cross-functional validation of analytical tools and drive enterprise-wide frameworks. You will plan and execute validation projects, assess tool quality and risk, and communicate results to executives.

You will mentor junior staff, collaborate with data analysts, quants and data scientists, and shape strategies that improve decision-making while balancing speed and accuracy in a dynamic environment.

Qualifications

• Bachelor's degree in quantitative field plus 7+ years of data analytics experience, or a Master’s degree plus 5+ years of data analytics with degree due by start date.
• At least 5 years of professional data analysis work and experience leading with open source data technologies.
• At least 2 years of people management experience.

Responsibilities

• Refining a new Enterprise-wide analytical tools validation framework.
• Planning and executing validation projects.
• Assessing quality and risk of analytical tool methodologies across Capital One.
• Understanding technical issues in analytical tools and prototyping industry best practices.
• Communicating results clearly via validation reports and presentations.
• Coaching and mentoring junior staff.

Skills

Data analytics

Open source data technologies

People management

Leadership

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field

Job description

Capital One is seeking a Senior Manager Data Analysis-Card Alternative Data to lead cross-functional validation of analytical tools and drive enterprise-wide frameworks. You will plan and execute validation projects, assess tool quality and risk, and communicate results to executives.

You will mentor junior staff, collaborate with data analysts, quants and data scientists, and shape strategies that improve decision-making while balancing speed and accuracy in a dynamic environment.