Senior Manager, Data Analysis - People Analytics

Overview 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. 

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 

• 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. 

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.

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 salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

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Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).