Senior Product Manager, AI Enablement Analytics (Remote)

Capital One; Madison (WI); Remote; USD 183,000 - 229,000; Full time

Job summary

Capital One Shopping seeks a Senior Product Manager for AI Enablement who will own the agentic analytics platform and partner with platform engineers to deliver trusted AI-enabled data products. The role emphasizes governance of enterprise data, prototyping with AI tools, and strategic leadership across business and technical teams.

The candidate will drive metrics, prioritize needs, and push for cost-effective, scalable deployments while maintaining strong executive-level communication.

Qualifications

• 4+ years in Product Management, Solutions, Deployment Engineering or Data Analytics.
• Degree in quantitative field or related business/marketing with relevant experience.
• Experience handling large data with SQL, Python or R.
• Ability to define and govern metrics across teams and drive decisions.

Responsibilities

• Partner with platform engineers to build and operate AI products starting with an agentic analytics platform.
• Understand data requirements and ensure system complies with enterprise patterns.
• Define what the system must know to be trusted (data, definitions, context).
• Set boundaries for agent capabilities and validate them in practice.
• Deliberate prioritization with stakeholders, focusing on user needs and trade-offs.
• Improve deployment efficiency and reduce costs with each release.
• Maintain relationships with leaders and stakeholders dependent on platform performance.
• Define, socialize, and monitor KPIs to track evolution and success.

Skills

SQL

Python

R

AI tools prototyping

Education

Bachelor's or Master’s in quantitative field

Bachelor's + 4 years PM/Analytics experience

Tools

dbt

LookML

Snowflake

Databricks

Palantir Foundry

Looker

Mode

Job description

Capital One Shopping seeks a Senior Product Manager for AI Enablement who will own the agentic analytics platform and partner with platform engineers to deliver trusted AI-enabled data products. The role emphasizes governance of enterprise data, prototyping with AI tools, and strategic leadership across business and technical teams.

The candidate will drive metrics, prioritize needs, and push for cost-effective, scalable deployments while maintaining strong executive-level communication.