This role pays less than
86%
of similar roles. Most pay
$145,300–$231,150
— 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.
Sr. Associate, Product Manager, Audit Insights & Innovation, AI and Data Engineering joins the Audit Insights and Innovation team to modernize internal audit workflows through advanced technology. You will work within a cross-functional team of full-stack engineers and UI/UX designers to build products that surface real-time insights throughout the audit lifecycle. Specifically, you will own the vision and roadmap for the Audit Compass application, bridging the gap between generative AI capabilities and enterprise-scale design in a regulated landscape. Key responsibilities include building complex data pipelines, developing foundational AI capabilities for audit engineering, and breaking down business epics into user stories within an agile environment. The role requires expertise in data management, machine learning, and product management to solve internal risk management challenges by delivering high-impact, AI-assisted auditing experiences for internal auditors.
What does a Product Manager earn in Virginia?
Median $176450 from 58 postings across 3 companies.
Own the vision and roadmap for features within the Audit Compass application.
Bridge the gap between generative AI capabilities and enterprise-scale design for internal audit workflows.
Build foundational AI capabilities and complex data pipelines for audit engineering.
Break down business epics into specific features and user stories to drive Minimum Viable Product (MVP) testing.
Develop comprehensive acceptance criteria in collaboration with technical teams and UI/UX designers.
Use hypothesis-driven assessment of data to ensure product features meet real business needs.
Manage the development roadmap while ensuring all regulatory processes and risk procedures are followed.
Communicate complex product roadmaps and technical requirements clearly to internal stakeholders and partners.
What we're looking for
Must have a Bachelor’s degree or equivalent military experience.
Must have 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.
Must have experience building complex data pipelines and foundational AI capabilities.
Must be able to communicate complex ideas clearly and collaborate across diverse, cross-functional teams.
Machine Learning
AI
Agile
Product Management
Data Science
Software Engineering
MVP
User Stories
Business Analysis
Architecture Strategy
Digital Products
Product Management
SQL
Data Governance
AI/ML
Business Intelligence
Data Engineering
Information Architecture
Data Analytics
Metadata Management
Data Catalog
User Research
Cloud Ecosystems