Senior AI Analytics Platform Product Manager (Remote)

Capital One

United States

Remote

USD 183,000 - 208,000

Full time

3 days ago
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Job summary

Capital One Shopping is seeking a Senior Product Manager for AI Enablement - Analytics. You will own an agentic analytics platform, working with platform engineers to deliver AI-powered analytics that shape product decisions across Shopping.

You will leverage deep data governance, modern data stack tools, and strong SQL/Python/R skills to define data definitions, ensure trust, and govern metrics across teams.

Qualifications

  • 4+ years in Product Management, Solutions, Deployment Engineering, Technical Consulting, or Data Analytics.
  • Bachelor's or Master’s in a quantitative field; or Bachelor’s with 4+ years PM/analytics experience.

Responsibilities

  • Partner with platform engineers to build and operate AI products.
  • Define enterprise data requirements and ensure system alignment with patterns.
  • Set boundaries for agent capabilities and validate enforcement.
  • Drive stakeholder alignment and prioritize trade-offs.
  • Improve deployment cost and speed with each release.
  • Maintain relationships with leaders dependent on platforms.
  • Define and monitor KPIs to measure project success.

Skills

Enterprise data governance
Modern data stack
AI agents (text-to-SQL)
Metric disputes resolution
Prototyping in tools
Self-directed work
Executive-level communication
Cross-functional leadership
SQL
Python/R
Data platforms/backend

Education

Bachelor's or Master’s in quantitative field OR Business/Marketing

Tools

dbt
LookML
Snowflake
Databricks
Palantir Foundry
Looker
Mode

Job description

Capital One Shopping is seeking a Senior Product Manager for AI Enablement - Analytics. You will own an agentic analytics platform, working with platform engineers to deliver AI-powered analytics that shape product decisions across Shopping.

You will leverage deep data governance, modern data stack tools, and strong SQL/Python/R skills to define data definitions, ensure trust, and govern metrics across teams.

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