Drimva

Capital One

Senior Business Manager - AIML Product Strategy

$201K–$250K

New York, NY +2 · Manager · Full-time · Posted Oct 6, 2026

Location
New York, NY
San Francisco, CA
McLean, VA
Experience
At least 3 years each in quantitative and qualitative analysis; at least 1 year each in people management and project management. Preferred: 5+ years in quantitative and qualitative analysis; 2+ years in people management, product development, financial modeling, economic forecasting, and project management.
Education
Bachelor’s Degree; preferred Master’s Degree in Business or a quantitative field.
Visa sponsorship
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

About the job

Shapes strategy and destination vision for Capital One’s AI and machine learning platforms, translating business and customer needs into reusable capabilities and company-wide strategy.

What you'll do

  • Set the vision and strategy for AI and ML platforms in collaboration with AI leaders and business partners.
  • Develop strategy materials and communicate the AIML strategy across the company.
  • Partner with business and AIML teams to solve implementation problems and continuously improve platform capabilities.

What they ask for

  • 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 and project management

Nice to have

  • Master’s Degree in Business or a quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, or Engineering
  • Experience in product development, financial modeling, economic forecasting, or additional quantitative, qualitative, people, or project management

Pay

$200,700 - $229,100 USD base salary; $219,000 - $249,900 USD base salary; $219,000 - $249,900 USD base salary

AI focus

Develops strategy and vision for enterprise AI and ML platforms, including infrastructure, foundation models, and reusable AI capabilities.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 6, 2026 (UTC)