Senior Product Manager, AI Analytics Platform (Remote)

Capital One; Montpelier (VT); À distance; USD 150 000 - 195 000; Plein temps

Résumé du poste

Capital One Shopping is seeking a Senior Product Manager for AI Enablement - Analytics with remote-eligible status. You will own an agentic analytics platform and partner with platform engineers to deliver AI-powered data products used by Shopping teams.

Applicants should bring deep data experience, familiarity with the modern data stack, and a track record of providing trusted outputs to diverse business and technical users.

Qualifications

• Extensive experience with enterprise data governance, semantic and metrics layers, data catalogs and BI tooling.
• Proficiency with the modern data stack (dbt, LookML, Snowflake, Databricks, Palantir Foundry, Looker, Mode).
• Experience with AI agents on structured data, text-to-SQL, tool use, evals, and failure modes.
• Ability to adjudicate metric disputes and drive alignment across teams.
• Hands-on prototyping with AI tools to deliver PoCs rather than lengthy docs.
• Comfort with backend and internal platform products for diverse users.

Responsabilités

• Partner with platform engineers to build and operate AI products across Shopping, starting with the agentic analytics platform.
• Define enterprise data requirements and ensure system compliance with enterprise patterns.
• Set data definitions and context needed for trusted decisions by agents.
• Define boundaries for agent capabilities and validate boundaries in production.

Connaissances

Enterprise data

AI enablement

Data governance

SQL/Python/R

Communication

Strategic thinking

Formation

Bachelor's degree in a relevant field

Outils

dbt

LookML

Snowflake

Databricks

Palantir Foundry

Looker

Mode

Description du poste

Capital One Shopping is seeking a Senior Product Manager for AI Enablement - Analytics with remote-eligible status. You will own an agentic analytics platform and partner with platform engineers to deliver AI-powered data products used by Shopping teams.

Applicants should bring deep data experience, familiarity with the modern data stack, and a track record of providing trusted outputs to diverse business and technical users.