Senior Data Analytics Manager: Tool Validation & Leadership

Capital One; New York (NY); On-site; USD 219,000 - 250,000; Full time

Job summary

Capital One is a Fortune 200 company focused on data-driven decision-making. This Senior Manager role partners with cross-functional teams to validate analytical tools and influence business strategies, with a strong emphasis on leadership and mentoring.

You will refine validation frameworks, plan projects, assess tool methodologies, and communicate results clearly to stakeholders. The position offers growth in a fast-paced data environment with significant responsibility and impact.

Qualifications

• Bachelor’s Degree in quantitative field plus at least 7 years of data analytics experience or Master’s Degree plus at least 5 years of data analytics experience
• 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
• Coaching and mentoring junior staff

Skills

Data analytics

Leadership

Communication

Mentoring

Education

Bachelor's Degree in quantitative field

Master's Degree

PhD in related field

Job description

Capital One is a Fortune 200 company focused on data-driven decision-making. This Senior Manager role partners with cross-functional teams to validate analytical tools and influence business strategies, with a strong emphasis on leadership and mentoring.

You will refine validation frameworks, plan projects, assess tool methodologies, and communicate results clearly to stakeholders. The position offers growth in a fast-paced data environment with significant responsibility and impact.