Drimva

Capital One

Business Strategy Manager - Network Policy & Rules Advisory

$138K–$189K

New York, NY +4 · Manager · Full-time · Posted Oct 16, 2026

Location
New York, NY
Richmond, VA
McLean, VA
Chicago, IL
Riverwoods, IL
Experience
At least 4 years advising on Payment Network Rules and Regulations and at least 5 years in policy design, contract interpretation, and rule-based governance models.
Education
High School Diploma, GED or equivalent certification; Bachelor’s Degree preferred.
Visa sponsorship
Will not sponsor a new applicant for employment authorization or provide immigration-related support.

About the job

Advises on and shapes payment network rules, technical specifications, and policy governance, while supporting modernization of the rules framework.

What you'll do

  • Review proposed rules, product initiatives, and network strategies; identify gaps and recommend durable policy solutions.
  • Research industry and competitors, and advise on modernization of the payment network rules framework and publishing platform.
  • Evaluate waiver requests and collaborate across Legal, Risk, Product, Technology, and Operations to communicate policy guidance.

What they ask for

  • At least 4 years of experience advising on Payment Network Rules and Regulations.
  • At least 5 years of experience in policy design, contract interpretation, and rule-based governance models.
  • High School Diploma, GED or equivalent certification.

Nice to have

  • Bachelor’s Degree.
  • 3+ years of experience in team leadership or direct people management; experience with payment networks or payment ecosystem research and policy architecture.

Pay

$151,900 - $173,400 USD base salary (McLean, VA); $138,100 - $157,700 USD base salary (Richmond, VA); $138,100 - $157,700 USD base salary (Chicago, IL); $165,700 - $189,200 USD base salary (New York, NY); $138,100 - $157,700 USD base salary (Riverwoods, IL)

Tools

Enterprise Operating Rules Management and Publishing Platform, AI-enabled tools

AI focus

Uses AI-enabled tools to enhance rule quality and consistency while retaining strict human accountability.

Model-written summary · the original posting is authoritative

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