Enterprise Analytics Validation Lead

Capital One; Plano (TX); On-site; USD 183,000 - 208,000; Full time

Job summary

Capital One in Plano, TX is seeking a Senior Data Analysis Manager to lead cross-functional validation of enterprise analytics tools and to refine validation frameworks, plan projects, and communicate results clearly. You will work with data analysts, quants, and scientists to drive data-driven decisions in a fast-paced environment.

The ideal candidate has 5–7+ years in data analytics, hands-on with open source data technologies, and proven people leadership.

Qualifications

• Bachelor’s degree in a quantitative field plus 7+ years of data analytics experience, or Master’s degree plus 5+ years analytics experience with degree to be completed by 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.

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 tool risks and opportunities
• Independently researching and prototyping industry best practices for emerging analytical tools
• Communicating results clearly via validation reports and presentations
• Leveraging education and training opportunities to develop solutions
• Coaching and mentoring junior staff

Skills

Data analytics

Leadership

Open source data technologies

People management

Education

Bachelor’s degree in quantitative field

Master’s degree in related field

Job description

Capital One in Plano, TX is seeking a Senior Data Analysis Manager to lead cross-functional validation of enterprise analytics tools and to refine validation frameworks, plan projects, and communicate results clearly. You will work with data analysts, quants, and scientists to drive data-driven decisions in a fast-paced environment.

The ideal candidate has 5–7+ years in data analytics, hands-on with open source data technologies, and proven people leadership.