Data Analytics Manager: AI-Ready Insights & Leadership

Capital One National Association; McLean (VA); On-site; USD 165,000 - 188,000; Full time

Benefits offered by this job

Performance-based incentives

Benefits package

Job summary

Capital One National Association is seeking a Manager of Data Analysis for Personal Loans to drive AI-readiness, data governance, and BI-driven decision making. You will lead a team of junior analysts, mentor them, and partner across business units in a fast-paced, entrepreneurial environment.

The role emphasizes data quality, scalable data abstractions, end-to-end project lifecycles, and limited travel, with strong collaboration across teams to maximize business impact.

Qualifications

• Bachelor’s Degree in a quantitative field plus at least 6 years of data analytics experience or Master’s with at least 4 years of analytics experience
• At least 4 years of experience performing professional data analysis work
• At least 4 years of experience performing programming

Responsibilities

• Drive strategy and implementation of AI-readiness initiatives for the Discover Personal Loans business, ensuring centralized, well-documented data for advanced analytics
• Lead modernization of monitoring and governance by automating controls and scalable data abstraction layers
• Champion data quality and standardization to enhance usability of core DPL data for cross-functional decisions
• Use analytics to create customer experiences that exceed peers
• Lead and mentor junior analysts across multiple projects in a fast-paced environment with BI focus

Skills

Data analysis

Programming

People management

Project management

Tableau

AWS proficiency

Education

Bachelor’s Degree in quantitative field

Master’s Degree in STEM

Tools

Python

R

Spark

SQL

AWS

Job description

Capital One National Association is seeking a Manager of Data Analysis for Personal Loans to drive AI-readiness, data governance, and BI-driven decision making. You will lead a team of junior analysts, mentor them, and partner across business units in a fast-paced, entrepreneurial environment.

The role emphasizes data quality, scalable data abstractions, end-to-end project lifecycles, and limited travel, with strong collaboration across teams to maximize business impact.