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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Manager, Data Analyst - Product Analytics - **Company:** Capital One Financial Corporation - **Location:** McLean, VA, United States - **Experience:** Expert - **Salary:** $200,700.0 - $229,100.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Big Data, Data Governance, Dataspaces, Relational Databases, Usage Analysis, Enterprise Data Management, Information Technology, Data Analytics - **Published:** November 2, 2026 - **Apply:** https://www.financialjobbank.com/job.asp?id=3479337750&tx=VT6257TTZ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams., * 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, * Master's Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field * 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 designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. 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 prorated based upon the agreed upon number of hours to be regularly worked. ## Description 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. The Enterprise Data team is focused on maximizing the value of our data ecosystem and enabling real-time, intelligent experiences built on a scalable, future ready foundation. We are a highly collaborative, cross-functional team working across Product, Technology, Design, Risk, and other partners to build a modern enterprise data ecosystem. We are looking for an exceptional and innovative Sr. Manager, Data Analytics to solve complex business and product challenges across our Enterprise Data Product teams. You will lead Product Analytics to measure and improve the performance and health of our Products and Platforms, transforming complex data into actionable, AI-enabled insights that shape product strategy and drive better decisions. If you are a strategic thinker who thrives on solving complex problems and using Data and AI to influence product development, this is an opportunity to make a meaningful impact. 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