Drimva

Capital One

Sr Manager, Process Manager- GPN

$164K–$187K

McLean, VA · Manager · Full-time · Posted Sep 25, 2026

Experience
At least 5 years of Project Management experience and at least 3 years of People Management experience. Preferred: 7+ years in Process Management, Technical Documentation, or Product Operations within Financial Services or FinTech; 5+ years of People Management; 2+ years with modern documentation frameworks and AI / Large Language integration; 3+ years of influencing skills.
Education
Bachelor’s Degree or Military experience
Visa sponsorship
Capital One will not sponsor a new applicant for employment authorization for this position.

About the job

Leads the modernization and centralization of Settlement & Disputes technical documentation, including AI-enabled tools and processes for making specifications easier to maintain and use.

What you'll do

  • Build a roadmap and use cases for AI-enabled technical specifications, including LLMs, agentic workflows, and interfaces for querying documentation.
  • Lead centralized documentation support, legacy manual migration, and standards for readable, accurate, AI-ready specifications.
  • Advise product and Network Policy teams on documentation strategy and alignment with business rules and organizational goals; lead and develop the team.

What they ask for

  • Bachelor’s Degree or Military experience.
  • At least 5 years of Project Management experience.
  • At least 3 years of People Management experience.

Nice to have

  • 7+ years of experience in Process Management, Technical Documentation, or Product Operations within Financial Services or FinTech; 5+ years of People Management experience.
  • Experience with modern documentation frameworks and Artificial Intelligence / Large Language integration in an enterprise environment; Project Management Professional, Lean, Agile, or Six Sigma certifications preferred.

Pay

$163,900 - $187,100 USD base salary (McLean, VA)

Tools

LLMs, Generative AI, AI

AI focus

Integrate AI into the documentation lifecycle, automate content generation, validation, and accessibility, migrate manuals to AI-ready formats, and develop AI-driven interfaces for querying technical documentation.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)