# Business Manager - AI Coding Tools Strategy & Analytics at Capital One

Capital One is hiring a Business Manager - AI Coding Tools Strategy & Analytics. Level rates it Little AI ●○○○; you can [apply on Capital One](https://jobsbylevel.com/go/c1a17640-38c2-40ca-89f5-9be751ae0724?utm_medium=ai-agent).

AI Level 1, AI centrality 15 out of 100. McLean, VA.

## Details

- Company: [Capital One](https://jobsbylevel.com/companies/capital-one)
- AI level: AI Level 1 (score 15 out of 100)
- Location: McLean, VA
- Posted: November 9, 2026
- Apply: https://jobsbylevel.com/go/c1a17640-38c2-40ca-89f5-9be751ae0724?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=business-manager-ai-coding-tools-strategy-analytics-at-capital-one-75ada9

## Prepare for this job

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## Description

Business Manager - AI Coding Tools Strategy & Analytics Capital One is embarking on a bold new enterprise imperative to Transform Analysis with AI across the company. This imperative will transform how enterprise data, AI, and analytical capabilities are delivered and consumed across the company to drive business outcomes, accelerate analytical workflows, and create more seamless experiences for our analysts and modelers. The newly formed Analysis, Data Consumption & Integrations product tower within Enterprise Products & Experiences brings together foundational data capabilities, analyst and modeler workflows, and enterprise analytical platforms in a more integrated way. The Analysis Product team within ADCI drives the product experience for AI tools and capabilities adopted by non-engineering, analysis-driven roles across the enterprise, such as data scientists, data analysts, business analysts, strategy analysts, product managers, and underwriters. As a Business Manager on the Analysis Product Strategy & Analytics team, you will drive deep data-informed understanding of how analysts use AI tools, and develop hypotheses on their impact on business processes and outcomes. You will validate these hypotheses using telemetry, AI tooling usage data, and business metrics while partnering closely with data analysts and engineers supporting data pipelines and analytics. You will also develop product manager and executive-facing narratives and conclusions from these analyses. Key Responsibilities Define critical business questions and translate into concrete, actionable analyses Define metrics for tracking Claude Code usage, cost, and effectiveness; and the “so what” implications for business decisions Become the subject matter expert on Claude Code usage data; this role is expected to be hands on in the data Leverage BI and dashboard tooling (Quicksight) to build recurring reporting that scale beyond one-off requests Partner with data analysts and product to define new data needs to support usage analyses at scale Ensure data quality, lineage, and definitions (e.g., what counts as an "active user," how cost is attributed) are documented and consistent across analyses Distill complex analyses into clear, decision-ready narratives for executive audiences Build and maintain executive-facing presentations that communicate high-level usage, adoption, and cost trends Anticipate the follow-up questions leadership will ask and come prepared with the underlying data to answer them Basic Qualifications: At least 3 years of professional experience performing analysis Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer engineering, Software engineering, Mechanical engineering, Information Systems or a related quantitative field) A Master's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: Master’s Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering 5+ years of experience in analysis 2+ years of experience in financial services 1+ year of experience in consulting 2+ years of experience in people 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

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