Summary written by USA Jobs 24 from Capital One's advert and our data on 17,030 current US jobs. How we check every job
At a glance
Capital One is hiring a Senior Business Manager, Product Analytics in McLean, VA; Richmond, VA +2. It is a full-time role in Data, AI & Analytics, asking for at least 3 years of experience, first listed on November 3. The advertised pay is $200,700–$229,100 a year. The description mentions Statistics, SQL, Python and Financial modelling. Capital One has 149 other openings in the US, 113 of them in McLean, VA. Across all employers on USA Jobs 24 there are 36 Data & AI openings in McLean, VA today; the typical one asks for 6 years and advertises about $211,000 a year at the midpoint.
How the pay compares
Capital One advertises $200,700 to $229,100 a year, a midpoint of $214,900 a year. Where an offer lands in a range usually depends on experience and on the exact location. That is higher than about 61% of the 62 data & AI jobs in Virginia that publish a yearly rate on USA Jobs 24, where the typical midpoint is $211,000 a year. To see roughly what this leaves after federal and Virginia tax, try our take-home pay calculator.
Skills in this advert
How often each skill named in this advert appears across the 1,778 data & AI jobs we list today. Python is the most widely requested (46% of jobs), while Financial modelling is the least common (1%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
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Before you apply
- Check it is still open. We found this job on Capital One's Workday site on November 3 and checked it again November 4, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check the location works for you. This role is based in McLean, VA (or one of 3 other locations). If you would need to move, ask whether relocation help is offered.
- Match the experience. The advert asks for at least 3 years of experience. If you are a little short, a close match on the skills in the advert can still win an interview.
- Tailor your resume. Use the advert's own words, such as Statistics, SQL and Python, wherever they are true for you. Our resume guide shows how.
- Know your number. Decide the lowest offer you would accept before the first call. Our salary negotiation guide explains how to ask for more.
- Apply only through Capital One's own site. Our Apply button goes straight to Capital One's Workday page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at Capital One
Capital One has 150 openings on USA Jobs 24 today across 14 states. Most are in software & IT (51), data & AI (37) and product & design (23). The biggest locations are McLean, VA (114), Richmond, VA (83) and New York, NY (61). 1% of them are remote, 9% are open to entry-level candidates and 100% show pay. We collect Capital One's jobs every day straight from its own careers system (Workday), never from job boards or agencies.
The employer's advert
This is Capital One's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from Capital OneHide the advert1,127 words
We are looking for a tenured, highly technical Product Analytics Sr. Manager to serve as a key architect for our experimentation and product strategy. This is a hands-on, individual contributor role for a seasoned practitioner who thrives in the weeds of data but operates with the strategic view to drive Product growth. You’ll team with world-class professionals to develop and test strategies that ultimately impact the bottom line. And you will do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation.
You will help shape product development, quantify new opportunities, and identify upcoming challenges. You will help define the methodologies for how we measure success, serving as the subject matter expert in experimentation, causal inference, and metrics selection. Your work will help partner teams prioritize what to build, set goals, and understand their impact.
Your work will directly influence product direction, investment decisions, and the product vision for the Retail Bank. You will help drive product led growth by employing a varied toolkit of rigorous analytical approaches, different statistical methodologies, and frameworks to surface insights on new and exciting opportunities and challenges. This is a highly collaborative role in which you will problem solve alongside partners and leadership in Product, Engineering, Research, Data, Finance, and others.
Key Responsibilities
- Product Strategy & Roadmap Influence: Partner closely with Product Management and Engineering to identify high-leverage growth opportunities. Translate complex behavioral data and user funnels into actionable product recommendations and feature requirements.
- Experimentation & Causal Inference: Serve as internal authority on experimentation and causal inference. Define and enforce the standards for randomization, power analysis, and conversion window modeling. Design, analyze, and interpret complex A/B/n tests using advanced statistical techniques (randomization, power calculations, variance reduction, quasi-experiments) to isolate true customer incrementality.
- Hands-On Technical Execution: Query, clean, and transform massive, complex datasets using SQL, Python, or R. Develop statistical models, user segmentation frameworks, and exploratory analysis to uncover engagement patterns.
- Cross-Functional Leadership & Alignment: Drive alignment across cross-functional partners (Product, Tech, Research, Finance). Facilitate peer review gates to maintain rigorous analytical integrity and establish standardized KPI frameworks.
- Data Storytelling & Executive Communication: Synthesize multi-faceted data insights into clear, strategic narratives. Able to influence audiences beyond vanity metrics to focus on underlying customer value and long-term business impact.
What success looks like
- Proven Track Record: A seasoned analytical expert with significant experience in high-velocity product environments (e.g., e-commerce, fin-tech, or SaaS). You have navigated complex, ambiguous zero-to-one challenges and delivered clear outcomes.
- Technical Mastery: Fluency in SQL and Python is a baseline requirement. Deep expertise in statistical modeling, DoE (Design of Experiments), and causal inference methodologies is critical.
- Influencer Mindset: You possess strong executive communication skills and the ability to drive agreement through intellect and interpersonal negotiation rather than hierarchy. You can explain the "why" behind a complex statistical result to non-technical partners.
- Product Sense: You understand how digital products are built, instrumented, and scaled. You know when to utilize centralized, self-serve experimentation tools versus when a high-bar, gate-kept methodology is required.
Basic Qualifications:
- Bachelor’s Degree
- At least 3 years of experience performing quantitative analysis
- At least 3 years of experience performing qualitative analysis
- At least 1 year of experience performing people management
- At least 1 year of experience performing project management
Preferred Qualifications:
- Master’s Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering
- 5+ years of experience in quantitative analysis
- 5+ years of experience in qualitative analysis
- 2+ years of experience in people management
- 2+ years of experience in product development
- 2+ years of experience in financial modeling
- 2+ years of experience in economic forecasting
- 2+ years of experience in project management
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. Business ManagerNew York, NY: $219,000 - $249,900 for Sr. Business ManagerRichmond, VA: $182,500 - $208,300 for Sr. Business ManagerWilmington, DE: $182,500 - $208,300 for Sr. Business ManagerCandidates 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.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
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).
USA Jobs 24 copied this listing from Capital One's official careers site on November 3, 2026 and checked it again November 4, 5:17 AM ET. Capital One will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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