Senior Manager, Data Analysis – Card Data AI Automation

Capital One

. Lead a talented analytics team to drive the AI automation strategy for Card Data .

Posted 9/18/2026full-timeRichmond • Virginia • United StatesSenior💰 $182,500 - $229,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading analytics teams and developing AI automation strategies, particularly with LLM tools like Gemini and Claude. Proficient in data validation, statistical modeling, and fostering a high-performing team culture within the financial services industry.

Highest-signal resume keywords

Data AnalyticsLLM TechnologiesStatistical ModelingTeam LeadershipData Governance

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalysisStatistical ModelingEconometric ModelingData ValidationPredictive AnalyticsLarge Data Set ManipulationOpen Source Data TechnologiesAnalytical Tool MethodologiesAI Solutions DesignMetrics Establishment

Soft Skills

CoachingMentoringCommunicationTeam BuildingProblem Solving

Tools & Technologies

GeminiClaudeAnalytical ToolsData Governance FrameworkValidation Framework

Certifications & Qualifications

Bachelor’s DegreeMaster’s DegreePhD (Preferred)

Industry Keywords

Financial ServicesData StrategyOperational MetricsEmerging Analytical ToolsQuantitative Field

Tech Stack

Tools & technologies

Open Source

About the role

Key responsibilities & impact

Lead a talented analytics team to drive the AI automation strategy for Card Data
Champion LLM tools such as Gemini and Claude to automate complex data validation processes
Establish proactive metrics to eliminate operational fire drills
Design scalable, well-governed AI solutions
Foster a supportive and high-performing team culture
Refine an enterprise-wide analytical tools validation framework
Plan and execute validation projects
Assess the quality and risk of analytical tool methodologies and tool usage processes across Capital One
Understand technical issues in analytical tools and assess tool risks and opportunities
Research, identify, and prototype industry best practices for emerging analytical tools
Communicate results through validation reports, presentations, and verbal communication
Leverage education, colleagues, and training opportunities to develop solutions to business problems
Coach and mentor junior staff

Requirements

What you’ll need

Currently has, or is in the process of obtaining, a Bachelor’s Degree in a quantitative field plus at least 7 years of experience performing data analytics, or a Master’s Degree plus at least 5 years of experience performing data analytics; required degree expected by scheduled 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
Preferred: Master’s Degree or PhD in Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field
Preferred: Experience developing data strategies incorporating LLM technologies such as Gemini and Claude
Preferred: At least 7 years of hands-on statistical or econometric work
Preferred: At least 5 years manipulating and analyzing large data sets
Preferred: At least 5 years in the financial services industry
Preferred: At least 5 years developing statistical or econometric models
Preferred: At least 5 years validating statistical or econometric models
Preferred: At least 2 years with data governance
Preferred: At least 2 years with predictive analytics
Capital One will consider sponsoring a new qualified applicant for employment authorization

Benefits

Comp & perks

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial and other benefits supporting total well-being
Reasonable accommodations for applicants with disabilities
Hybrid work arrangement