Senior Associate Product Manager, Card Intelligence

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: McLean, VANew York, NYRichmond, VA
Salary: $111,200–$126,900 / yr
Posted: 64 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $188k

This role $119k

$97k most similar roles pay here $244k

This role pays less than 82% of similar roles. Most pay $150,000–$225,450 — the shaded band above. At the midpoint, this role pays about $119k versus about $188k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Associate Product Manager, Card Intelligence

Role Posting Log in to save

As a Senior Associate, Product Manager, Card Intelligence, you will join the Card Machine Learning division to develop and deploy predictive machine learning and generative AI models. Working within an agile environment, you will collaborate with data scientists, engineers, designers, and subject-matter experts to build products that enable seamless, scalable anti-fraud models. Your daily responsibilities include breaking down business epics into user stories, defining acceptance criteria, managing feature development roadmaps, and conducting research on emerging technology trends and architecture strategies. You will also identify reusable solution patterns to reduce the time required to bring models to market. The role focuses on solving complex fraud prevention challenges by leveraging machine learning technologies to improve customer outcomes across the entire lifecycle. Key skills include experience in product design, agile delivery, business analysis, data science, or software engineering.

What does a Product Manager earn in Virginia?

Median $176450 from 58 postings across 3 companies.

See salary data

Skills

Machine Learning Generative AI Agile Product Management Data Science Software Engineering MVP User Stories Architecture Strategy Anti-fraud Models Business Analysis Product Design

What you'll do

Break down business epics into features and user stories to drive Minimum Viable Product (MVP) testing.
Define comprehensive acceptance criteria and identify necessary research to inform future feature designs.
Own and prioritize product roadmaps while ensuring all internal processes and risk management procedures are followed.
Use hypothesis-driven data analysis to ensure products and features meet specific business needs.
Collaborate with engineers, data scientists, and designers to build predictive ML and Generative AI models for fraud prevention.
Identify reusable solution patterns to reduce the time required to bring new models to market.
Communicate complex product roadmaps and technical concepts clearly to internal stakeholders and partner teams.
Monitor technology trends and architecture strategies to deliver well-managed, scalable product platforms.

What we're looking for

Must have a Bachelor’s degree or military experience.
Must have at least 1 year of product management experience.
Alternatively, must have at least 1 year of experience in product design, agile delivery, business analysis, data science, or software engineering.
Preferred: A Bachelor's degree in computer science or engineering.
Preferred: At least 1 year of experience translating business strategy into consumer-facing digital products.
Preferred: At least 1 year of experience working on core product platforms powering digital experiences.
Preferred: At least 1 year of experience as a product owner in an agile development process with cross-functional teams.

Save