Senior Manager, Data Analysis - Enterprise Supplier Management

Capital One Financial

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Quick summary

Work type: On-site
Location: McLean, VARichmond, VA
Salary: $200,700–$229,100 / yr
Employment: Full-time
Posted: 2 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $187k

This role $215k

$129k most similar roles pay here $240k

This role pays more than 82% of similar roles. Most pay $158,937–$214,562 — the shaded band above. At the midpoint, this role pays about $215k versus about $187k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 1744 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 948 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Manager, Data Analysis - Enterprise Supplier Management

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Senior Manager, Data Analysis - Enterprise Supplier Management joins the Strategy & Analytics team to serve as a core architect in building and delivering long-term strategy for the Enterprise Supplier Management organization. This role involves partnering cross-functionally with Product, Technology, Risk, and Operations teams to develop data products, establish ontology and architecture, and manage a team of over four analysts. The position focuses on validating business-impacting analytical tools, assessing the quality and risk of methodologies, and prototyping industry best practices for emerging tools. Candidates must possess expertise in large data sets, statistical or econometric modeling, predictive analytics, and data governance. The role addresses the complex challenge of managing third-party relationships and transforming platforms to improve how the company analyzes and instruments its business to drive strategic outcomes within the financial services sector.

Skills

Data Analysis Statistical Modeling Open Source Data Technologies Predictive Analytics Data Governance Econometrics Data Products

What you'll do

Develop reports and data products to meet business needs and provide actionable insights.
Partner with product teams to define requirements and improve data instrumentation.
Establish data products, ontology, and architecture in collaboration with technical teams.
Execute validation projects to assess the quality and risk of analytical tool methodologies.
Research and prototype industry best practices for emerging analytical tools.
Communicate complex results clearly through written reports and verbal presentations.
Lead, coach, and mentor a team of data analysts.

What we're looking for

A Bachelor's degree in a quantitative field with 7 years of experience or a Master's degree with 5 years of experience is required.
At least 5 years of experience performing professional data analysis work is required.
At least 5 years of experience leading and developing with open source data technologies is required.
At least 2 years of experience managing people is required.
A Master's Degree or PhD in a related field is preferred.
At least 7 years of experience in statistical or econometrics hands-on work is preferred.
At least 5 years of experience manipulating and performing analysis with large data sets is preferred.
Experience in financial services, data governance, predictive analytics, and developing/validating models are preferred.

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