Senior Business Manager, Product Analytics

Capital One•McLean, VA
•$182,500 - $249,900

About The Position

Capital One is seeking a tenured, highly technical Product Analytics Senior Manager to serve as an architect for experimentation and product strategy. This is a hands-on individual contributor role for a seasoned practitioner who works deeply with data while taking a strategic view of product growth. The role involves developing and testing strategies that influence business results in a collaborative environment that values insight, continuous learning, innovation, and taking on new responsibilities. The position helps shape product development, quantify opportunities, anticipate challenges, and define methods for measuring success. As a subject matter expert in experimentation, causal inference, and metrics selection, the Senior Business Manager helps partner teams prioritize work, set goals, and assess impact. The work directly informs product direction, investment decisions, and the Retail Bank’s product vision. The role uses rigorous analytical approaches, statistical methodologies, and frameworks to identify opportunities and challenges, working closely with Product, Engineering, Research, Data, Finance, and other partners. This is an individual contributor position despite the Senior Manager title. The role is expected to influence product strategy and cross-functional decisions through hands-on technical analysis, analytical rigor, and clear communication.

Requirements

  • 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.
  • Fluency in SQL and Python.
  • Deep expertise in statistical modeling, Design of Experiments (DoE), and causal inference methodologies.
  • Strong executive communication skills and ability to influence and build agreement through analytical reasoning and interpersonal negotiation.
  • Ability to explain complex statistical results to non-technical partners.
  • Understanding of how digital products are built, instrumented, and scaled.

Nice To Haves

  • Master’s degree in Business or a quantitative field such as Finance, Economics, Physical Sciences, Mathematics, Statistics, or Engineering.
  • At least 5 years of experience in quantitative analysis.
  • At least 5 years of experience in qualitative analysis.
  • At least 2 years of experience in people management.
  • At least 2 years of experience in product development.
  • At least 2 years of experience in financial modeling.
  • At least 2 years of experience in economic forecasting.
  • At least 2 years of experience in project management.
  • Significant experience in high-velocity product environments such as e-commerce, fintech, or SaaS.
  • Experience navigating complex, ambiguous zero-to-one challenges and delivering clear outcomes.
  • Ability to choose between centralized self-serve experimentation tools and higher-bar, gate-kept methodologies as appropriate.

Responsibilities

  • Partner with Product Management and Engineering to identify high-leverage growth opportunities and translate behavioral data and user funnels into actionable product recommendations and feature requirements.
  • Serve as an internal authority on experimentation and causal inference; define and uphold standards for randomization, power analysis, and conversion-window modeling.
  • Design, analyze, and interpret complex A/B/n tests using statistical techniques such as power calculations, variance reduction, and quasi-experiments to measure customer incrementality.
  • Query, clean, and transform large, complex datasets using SQL, Python, or R.
  • Develop statistical models, user segmentation frameworks, and exploratory analyses to uncover engagement patterns.
  • Align cross-functional partners across Product, Technology, Research, and Finance; facilitate peer-review gates and establish standardized KPI frameworks.
  • Turn multifaceted data insights into clear strategic narratives, influencing stakeholders to focus on customer value and long-term business impact.
  • Help shape product development, quantify opportunities, identify challenges, and define success measurement methodologies.
  • Inform partner-team prioritization, goal setting, and impact assessment, and influence product direction, investment decisions, and the Retail Bank product vision.

Benefits

  • Comprehensive health, financial, and other benefits supporting total well-being; eligibility varies by employment status and management level.
  • Performance-based incentive compensation, potentially including cash bonuses and/or long-term incentives.
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