below marketmost similar roles pay hereabove market
This role pays less than
75%
of similar roles. Most pay
$176,712–$247,400
— the blue band above.
At the midpoint, this role pays about
$176k
versus about
$212k
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
2229 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 1126 roles with salary data.
The Manager, Product Manager, Audit Insights & Innovation, AI and Data Engineering joins the Audit Insights and Innovation team to modernize internal audit workflows. This role involves bridging the gap between generative AI capabilities and enterprise-scale design to deliver high-impact solutions within a complex regulated landscape. You will own the vision and roadmap for the Audit Compass application, building foundational AI-assisted auditing experiences and complex data pipelines. Day-to-day responsibilities include breaking down business epics into user stories, defining acceptance criteria, and collaborating with full-stack engineering teams, UI/UX designers, and data scientists. Key competencies include hypothesis-driven assessment of data, agile methodology, and translating business strategy into digital products. The work focuses on surfacing critical, real-time risk insights for internal auditors to shape the broader risk management landscape.
What does a Product Manager earn in Virginia?
Median $176450 from 164 postings across 5 companies.
Own the vision and roadmap for the Audit Compass application experience.
Build foundational AI capabilities and complex data pipelines for audit engineering.
Break down business epics into specific features and user stories for development.
Define comprehensive acceptance criteria and identify research needs for future feature designs.
Prioritize feature development roadmaps while ensuring compliance with risk management procedures.
Conduct research to develop features utilizing new and evolving technologies.
Use hypothesis-driven data assessments to ensure products meet real business needs.
Collaborate with designers, data scientists, and engineers to build cutting-edge audit solutions.
What we're looking for
Must have a Bachelor's or Master's degree in a quantitative field, Business, Marketing, or a Bachelor's degree in any field with 3 years of Product Management experience.
Must have experience understanding and building complex data pipelines.
Must have experience building foundational AI capabilities for audit engineering.
Must be able to break down business epics into features and user stories.
Must be able to own and prioritize feature development roadmaps.
Must be able to work autonomously in an agile environment.
Must be able to communicate complex ideas clearly to diverse audiences.
Experience translating business strategy and analysis into consumer-facing digital products (preferred).
Machine Learning
Generative AI
Agile
MVP
Product Roadmap
Data Science
Business Analysis
Acceptance Criteria
User Stories
Anti-fraud Models
Architecture Strategy
Generative AI
Machine Learning
APIs
Data Modeling
Data Governance
Snowflake
Databricks
Microsoft Azure
Amazon Web Services
Google Cloud
Data Pipelines
Knowledge Graphs
Retrieval Architectures
Large Language Models
Data Quality
Observability