Senior Manager, Data Analysis - People Analytics

Requirements

• 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
• At least 1 year of experience utilizing AI Platforms like Claude Code
• At least 2 years of experience with Human Resources or People Analytics
• Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
• McLean, VA: $200,700 - $229,100 for Sr. Data Analysis Manager
• Richmond, VA: $182,500 - $208,300 for Sr. Data Analysis Manager
• Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized

Additional Information

Senior Manager, Data Analysis - People 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 a Senior Manager, on the People Strategy and Analytics (PS&A) team, you will head a high-performing team of analysts focused on high-impact talent acquisition initiatives, international strategy, and broad organizational mandates. In this critical role, you will drive data democratization and robust self-service capabilities through advanced reporting and analytics. Serving as a trusted thought partner to senior leadership, you will manage executive stakeholder relationships while leveraging cutting-edge AI and automation frameworks to redefine our HR data capabilities. With a network of hundreds of Data Analysts, Quants, and Data Scientists, challenging projects with an eye on the bottom line and a focus on work/life balance, we've created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential. On a given day you will be: Refining and evolving people analytics frameworks and data standards to ensure our analytics, metrics, and insights are accurate, compliant, and scalable. Planning and executing high-priority data projects, managing end-to-end deliverables for complex talent acquisition, international strategy, and broader PS&A initiatives. Coaching, mentoring, and upskilling a talented team of PS&A analysts to foster a collaborative culture of technical excellence and professional growth. Diagnosing complex data integrity and technical pipeline challenges, mitigating systemic workforce data risks while uncovering hidden operational opportunities. Researching, identifying, and prototyping next-generation AI and automation tools to keep our data and analytics infrastructure at the cutting edge. Translating complex technical findings and analytics into clear, concise narratives, executive presentations, and data-driven recommendations for senior leadership. 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.

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