About the role

What you’ll do

• Own Capital One Shopping's agentic analytics platform
• Partner with engineers and stakeholders to build trusted AI products
• Govern enterprise data requirements across data definitions and metrics
• Define and monitor success metrics for AI products
• Adjudicate metric disputes and drive alignment on data definitions
• Present a compelling vision to senior executives and inspire partner teams

What you’ll need

• At least 4 years in Product Management, Solutions/Deployment Engineering, Technical Consulting, or Data Analytics
• Deep proficiency in SQL and experience working with large data files using SQL, Python, and/or R
• Bachelor's or Master's in a quantitative field, business, or marketing, or equivalent experience
• Experience defining and governing metrics across teams that did not agree
• Familiarity with AI agents over structured data, including text-to-SQL, tool use, evals, and failure modes
• Experience with semantic layers, metrics layers, ontologies, data catalogs, or modern data stack tools

Original job description