Head of Data Analytics & Strategy

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

Job summary

Capital One is seeking an Data Analysis Manager in the Office of the Chief Data Officer, Central Analytics in McLean, VA. You will lead a team of analysts, drive data risk metrics, and publish dashboards to measure health and governance of data assets.

You will partner with executives to translate policy changes into actionable metrics, using AI to enhance data insights and supporting data-driven decisions across the organization.

Qualifications

• Bachelor’s Degree in quantitative field plus at least 6 years of data analytics experience or Master’s Degree plus at least 4 years of data analytics experience with degree to be obtained by start date.
• At least 4 years of experience performing professional data analysis work.
• At least 4 years of experience performing programming.

Responsibilities

• Define, standardize, and publish enterprise data risk metrics across LOBs.
• Build and evolve dashboards and data products for visibility into data management and governance.
• Monitor metrics, identify risks and trends, and generate actionable insights for leaders.
• Translate evolving data policies into meaningful metrics and monitoring.
• Lead cross-functional initiatives and influence stakeholders without direct authority.
• Present insights to VP+ leaders and executives across Capital One.
• Collaborate across business units and manage multiple projects in a fast-paced environment.

Skills

Data analytics

Team leadership

Problem solving

Communication

Mentoring

Education

Bachelor’s Degree in quantitative field

Master’s Degree in STEM/Analytics

Tools

Python

R

Spark

SQL

Tableau

AWS

Project management

Job description

Capital One is seeking an Data Analysis Manager in the Office of the Chief Data Officer, Central Analytics in McLean, VA. You will lead a team of analysts, drive data risk metrics, and publish dashboards to measure health and governance of data assets.

You will partner with executives to translate policy changes into actionable metrics, using AI to enhance data insights and supporting data-driven decisions across the organization.