Sr. Manager- Data Analytics

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.

As Senior Manager of Digital Analytics, you will drive the overarching data analytics strategy across our flagship EASE app, Site, and key Discover integrations, bridging product optimization and marketing performance to power scalable growth. You’ll partner closely with product leaders to guide experimentation strategy and monitor A/B test performance, transforming complex behavioral data into high-impact strategic decisions. Embedded within an AI-forward culture, you will leverage cutting‑edge predictive tools and automated insights to optimize seamlessly integrated experiences and shape the future of our digital roadmap.

If you’re a visionary analytics leader eager to blend data storytelling and next‑gen AI technology, join us in revolutionizing our digital experience!

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

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…