Senior Business Manager, Product Analytics

Capital One • McLean, VA

3d • $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 an experienced practitioner who works deeply with data while taking a strategic view of product growth. The role helps shape product development, quantify opportunities, identify challenges, and define methods for measuring success. As a subject matter expert in experimentation, causal inference, and metrics selection, the role supports partner teams in prioritizing work, setting goals, and understanding impact. Its analyses can influence product direction, investment decisions, and the product vision for the Retail Bank.

The position drives product-led growth through rigorous analytical approaches, statistical methods, and frameworks to identify opportunities and challenges. It works collaboratively with partners and leadership across Product, Engineering, Research, Data, Finance, and other teams. The role is an individual contributor position despite the Senior Manager title.

The role also involves communicating complex findings as strategic narratives focused on customer value and long-term business impact. The position is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. Capital One provides a comprehensive benefits offering; eligibility varies by employment status and management level.

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 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.
• Experience applying judgment to choose between self-serve experimentation tools and more rigorously governed methodologies.

Nice To Haves

• Master’s degree in Business or a quantitative field such as Finance, Economics, Physical Sciences, Mathematics, Statistics, or 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.
• Significant analytical experience in high-velocity product environments such as e-commerce, fintech, or SaaS.
• Experience navigating ambiguous zero-to-one challenges and delivering clear outcomes.
• Experience with R for data analysis.

Responsibilities

• Partner with Product Management and Engineering to identify high-leverage growth opportunities.
• 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 enforce standards for randomization, power analysis, and conversion-window modeling.
• Design, analyze, and interpret complex A/B/n tests using statistical techniques including power calculations, variance reduction, and quasi-experiments to isolate 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.
• Drive alignment across Product, Technology, Research, Finance, and other cross-functional partners.
• Facilitate peer-review gates to maintain analytical rigor and establish standardized KPI frameworks.
• Synthesize data insights into clear, strategic narratives for executive and non-technical audiences.
• Influence product priorities, goals, product direction, investment decisions, and product vision through analytical findings.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior