Senior Product Manager, AI Enablement - Analytics: Capital One Shopping (Remote-Eligible)

Capital One; Lincoln (NE); Remote; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

Capital One Shopping is seeking a Senior Product Manager for AI Enablement - Analytics to own the agentic analytics platform and drive value for shopping teams. Remote-Eligible position with a focus on enterprise data governance, AI tooling, and an emphasis on prototyping using AI tools to ship PoCs rather than extensive documentation.

The role requires deep experience with data platforms, strong communication to senior leadership, and the ability to translate complex data concepts into

Qualifikationen

• Deep experience with enterprise data governance and semantic/metrics layers.
• Experience with tools across the modern data stack (dbt, LookML, Snowflake, Databricks, Palantir Foundry, Looker, Mode).
• Familiarity with how AI agents work across structured data (text-to-SQL, tool use, evals).
• Adjudicated metric disputes and drove decisions to resolution.
• Proficient in SQL and Python or R for large data handling.

Aufgaben

• Partner with platform engineers to build and operate AI products that Shopping depends on, starting with an agentic analytics platform.
• Understand the enterprise data requirements and ensure the system's compliance with enterprise patterns.
• Define what a system needs to know to be trusted (the data, the definitions, the context behind both).
• Set the boundaries for what agents can and can't do, and prove those boundaries hold in.

Kenntnisse

Enterprise data governance

Data modeling

SQL

Python / R

AI/ML concepts

Stakeholder communication

Cross-functional leadership

Executive storytelling

Ausbildung

Bachelor's degree in a relevant field

Tools

dbt

LookML

Snowflake

Databricks

Palantir Foundry

Looker

Mode

Jobbeschreibung

Senior Product Manager, AI Enablement - Analytics: Capital One Shopping (Remote-Eligible)

Come join our growing team in Capital One Shopping - the AI Enablement team builds and owns the AI products and platforms the rest of the organization runs on.

Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.

We're looking for a Senior Product Manager with deep data platform experience to own Shopping's agentic analytics platform. Applied AI experience is a plus, and we value candidates who are builders and actively use AI tools (e.g., Claude Code, Codex, Cursor) to prototype rather than specify, and who'd rather ship a PoC than write a doc about it. Show us what you've built.

Capital One Product Framework

In this role, you'll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management:

• Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions

• Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence

• Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value

• Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks

• Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment

What we are looking for:

• Deep experience with enterprise data and how it's defined and governed (semantic and metrics layers, data catalogs, ontologies, warehouse and BI, etc.)

• Familiarity with tools across the modern data stack (dbt, LookML, Snowflake, Databricks, Palantir Foundry, Looker, Mode, etc.)

• Familiarity with how AI agents work across structured data (text-to-SQL, tool use, evals, and where these systems fail)

• Someone who has adjudicated metric disputes and made the decision stick

• A builder who would rather be in the tools prototyping than be dependent on someone else to run them

• Comfort with backend and internal platform products, where the users are diverse business and technical teams, and the measure is whether they trust the outputs

• A strategic thought leader who can create a compelling vision and story to present to senior executives and inspire direct and partner teams

• A strong communicator who can advance initiatives and create consensus through clear, concise, and contextually relevant messaging

• Someone who works with minimal direction and a mandate that's still taking shape

• Deep work experience handling large data files using SQL, Python, and/or R

What you'll do:

• Partner with platform engineers to build and operate AI products that teams across Shopping depend on, starting with an agentic analytics platform

• Understand the enterprise data requirements and ensure the system's compliance with enterprise patterns

• Define what a system needs to know to be trusted (the data, the definitions, the context behind both)

• Set the boundaries for what agents can and can't do, and prove those boundaries hold in