Senior Product Manager – AI Enablement, Analytics

This is a fully remote position, open to applicants in New York, +1 more state.

📋 Description

• Take ownership of Shopping’s agentic analytics platform.

• Collaborate with platform engineers to develop and manage AI products utilized across Shopping.

• Comprehend enterprise data requirements and ensure adherence to enterprise patterns.

• Establish the data, definitions, and context essential for reliable systems.

• Define and validate the limits of AI agents' capabilities.

• Grasp user and stakeholder needs and integrate them into prioritization and decision-making processes.

• Enhance the efficiency of successive deployments, making them cheaper and faster.

• Cultivate and maintain relationships with platform stakeholders and leadership.

• Define, promote, and track key performance indicators for project development and success.

• Exhibit Capital One’s Product Framework: human-centered, business-focused, technology-driven, integrated problem-solving, and transformational leadership.

⛳️ Requirements

• Minimum of 4 years of experience in Product Management, Solutions or Deployment Engineering, Technical Consulting, or Data Analytics.

• Bachelor’s or Master’s degree in a quantitative field, Business, or Marketing; alternatively, a Bachelor’s degree in any field with at least 4 years of relevant experience.

• Extensive experience with enterprise data definition and governance, including semantic and metrics layers, data catalogs, ontologies, warehouses, and BI.

• Familiarity with modern data stack tools such as dbt, LookML, Snowflake, Databricks, Palantir Foundry, Looker, and Mode.

• Understanding of AI agents working with structured data, including text-to-SQL, tool utilization, evaluations, and system failure modes.

• Proven experience in resolving metric disputes and enforcing decisions.

• Experience in building prototypes directly with AI tools.

• Comfortable with backend and internal platform products catering to diverse business and technical teams.

• Capability to create a product vision and present it to senior executives.

• Ability to operate with minimal supervision.

• Extensive experience managing large data files using SQL, Python, and/or R.

• Preferred: 7+ years of relevant experience, including ownership of an internal platform or production deployment.

• Preferred: 4+ years of direct experience in data with strong SQL proficiency.

• Preferred experience in metrics governance and semantic/metrics layers or ontologies.

• Capital One will not sponsor a new applicant for employment authorization for this position.

🏝️ Benefits

• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI).

• Comprehensive, competitive, and inclusive health, financial, and other benefits that support overall well-being.

• Reasonable accommodations for applicants who require them.