below marketmost similar roles pay hereabove market
This role pays more than
62%
of similar roles. Most pay
$177,250–$229,150
— the blue band above.
At the midpoint, this role pays about
$215k
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
1958 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 1053 roles with salary data.
The Senior Product Manager, AI Enablement - Analytics: Capital One Shopping joins the AI Enablement team to build and own AI products and platforms for the organization. This role focuses on owning the agentic analytics platform, where the individual will partner with platform engineers to develop AI products that diverse business and technical teams depend on. Key responsibilities include defining enterprise data requirements, ensuring compliance with patterns, and establishing boundaries for agent capabilities. The candidate must possess deep experience with enterprise data governance, including semantic layers, data catalogs, and ontologies. Required technical skills include SQL, Python, and R, alongside familiarity with tools like dbt, LookML, Snowflake, Databricks, Palantir Foundry, and Looker. The role solves complex problems regarding how AI agents interact with structured data and text-to-SQL systems.
What does a Product Manager earn in Virginia?
Median $176450 from 148 postings across 6 companies.
Partner with platform engineers to build and operate an agentic analytics platform for the Shopping organization.
Define enterprise data requirements and ensure all systems comply with established enterprise patterns.
Establish the data definitions, context, and trust boundaries required for AI agents to function accurately.
Prototype and ship proof-of-concept products using AI tools rather than focusing solely on documentation.
Manage the semantic and metrics layers, including data catalogs, ontologies, and warehouse integrations.
Define, socialize, and monitor key performance indicators to track the success and evolution of the project.
Lead cross-functional teams to resolve complex problems and drive organizational alignment on product goals.
Advocate for user needs during prioritization and trade-off discussions to ensure high-quality outcomes.
What we're looking for
At least 4 years of experience in Product Management, Solutions or Deployment Engineering, Technical Consulting, or Data Analytics.
A Bachelor's or Master's Degree in a quantitative field, Business, or Marketing is required, or a Bachelor's degree with 4 years of relevant experience.
Deep experience with enterprise data governance, including semantic and metrics layers, data catalogs, ontologies, warehouse, and BI.
Familiarity with the modern data stack including dbt, LookML, Snowflake, Databricks, Palantir Foundry, Looker, and Mode.
Experience handling large data files using SQL, Python, and/or R.
Familiarity with how AI agents work across structured data, including text-to-SQL, tool use, and evals.
7+ years of experience in Product Management, Solutions, or Deployment Engineering, including ownership of an internal platform (preferred).
4+ years of experience working directly in data with deep proficiency in SQL (preferred).