Senior Manager, Data Analysis - Card Data AI Automation

Senior Manager, Data Analysis - Card Data AI Automation At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. Capital One’s Card Data Management (CDM) team is seeking a Senior Manager, Data Analysis with strong problem-solving and conceptual thinking abilities, paired with solid communication, interpersonal, and leadership skills. In this role, you will lead a talented analytics team to drive our AI automation strategy for Card Data. By championing LLM tools like Gemini and Claude, you will automate complex data validation processes and establish proactive metrics to eliminate operational fire drills. Ultimately, your goal is to design scalable, well-governed AI solutions while fostering a supportive and high-performing team culture.   On a given day you will be:  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, and the nature of tools usage within those processes  Understanding technical issues in analytical tools and assessing tools risks and opportunities  Independently researching, identifying, and prototyping industry best practices for emerging analytical tools  Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations  Leveraging education, colleagues and training opportunities to develop solutions to business problems  Coaching and mentoring junior staff     Basic Qualifications Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the 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 Qualifications:  Master’s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field  Proven experience in developing data strategies that incorporate LLM technologies, such as Gemini and Claude At least 7 years of experience in statistical or econometrics hands-on work  At least 5 years of experience manipulating and performing analysis with large data sets  At least 5 years of experience in financial services industry  At least 5 years of experience in developing statistical or econometric models  At least 5 years of experience in validating statistical or econometric models  At least 2 years of experience with data governance  At least 2 years of experience with predictive analytics  Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.  This role is Hybrid , with associates expected to consistently spend three days per week in the office   The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be