Senior Associate Product Management, Machine Learning and AI

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: McLean, VANew York, NYChicago, IL
Salary: $101,100–$115,400 / yr
Posted: 53 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 $203k

This role $108k

$84k most similar roles pay here $257k

This role pays less than 92% of similar roles. Most pay $165,937–$240,437 — the shaded band above. At the midpoint, this role pays about $108k versus about $203k 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 Management, Machine Learning and AI

Role Posting Log in to save

As a Senior Associate Product Management - Machine Learning and AI within the Card Intelligence Marketing & Acquisitions team, you will collaborate with data scientists and engineers to develop and deploy machine learning solutions for customer engagement and acquisition. You will be responsible for breaking down business epics into features and user stories, defining acceptance criteria, and managing product roadmaps in an agile environment. The role involves building products that enable scalable model development and utilizing emerging technologies to create seamless customer experiences. Key responsibilities include conducting research, performing hypothesis-driven data assessments, and coordinating with designers and subject-matter experts. You will work on core product platforms to solve complex problems regarding how customers manage money, specifically focusing on leveraging machine learning capabilities to drive innovation in the financial services domain.

Skills

Machine Learning AI Agile Product Management Data Science Software Engineering MVP User Stories Business Analysis Architecture Strategy Digital Products

What you'll do

Develop and deploy machine learning solutions to support customer engagement and acquisition.
Translate business epics into specific features and user stories for agile development.
Define acceptance criteria and identify necessary research to inform future feature designs.
Own and prioritize product roadmaps while ensuring all risk management procedures are followed.
Use hypothesis-driven data analysis to ensure products meet specific business needs.
Collaborate with data scientists, engineers, and designers to build scalable machine learning platforms.
Communicate complex technical concepts and product roadmaps clearly to internal and external stakeholders.

What we're looking for

Must have a Bachelor’s degree or equivalent military experience.
At least 1 year of experience in product management, 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.

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