Senior Product Manager – AI Enablement, Analytics

Capital One

. Own Shopping’s agentic analytics platform .

Posted 10/13/2026full-timeRemote • United StatesSenior💰 $182,500 - $208,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Product Management and Data Analytics, with a strong focus on enterprise data governance, AI product development, and stakeholder engagement. Proficient in defining data requirements and key performance indicators to drive project success and operational efficiency.

Highest-signal resume keywords

Product ManagementEnterprise Data GovernanceSQL ProficiencyAI Product DevelopmentStakeholder Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsSQLPythonRData DefinitionMetrics GovernancePrototype DevelopmentSemantic LayersMetrics LayersData Catalogs

Soft Skills

Problem SolvingCommunicationLeadershipCollaborationPrioritization

Tools & Technologies

DbtLookMLSnowflakeDatabricksPalantir FoundryLookerMode

Industry Keywords

AI AgentsEnterprise PatternsKey Performance IndicatorsInternal PlatformProduction Deployment

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Own Shopping’s agentic analytics platform
Partner with platform engineers to build and operate AI products used across Shopping
Understand enterprise data requirements and ensure compliance with enterprise patterns
Define the data, definitions, and context required for trusted systems
Set and validate boundaries for what AI agents can and cannot do
Understand user and stakeholder needs and incorporate them into prioritization and trade-off decisions
Make successive deployments cheaper and faster
Build and maintain relationships with platform stakeholders and leaders
Define, socialize, and monitor key performance indicators for project evolution and success
Demonstrate Capital One’s Product Framework: human-centered, business-focused, technology-driven, integrated problem solving, and transformational leadership

Requirements

What you’ll need

At least 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, Bachelor's degree in any field with at least 4 years of relevant experience
Deep experience with enterprise data definition and governance, including semantic and metrics layers, data catalogs, ontologies, warehouses, and BI
Familiarity with modern data stack tools including dbt, LookML, Snowflake, Databricks, Palantir Foundry, Looker, and Mode
Familiarity with AI agents working across structured data, including text-to-SQL, tool use, evaluations, and system failure modes
Experience adjudicating metric disputes and enforcing decisions
Experience building prototypes directly with AI tools
Comfort with backend and internal platform products serving diverse business and technical teams
Ability to create product vision and present to senior executives
Ability to work with minimal direction
Deep experience handling 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 working directly in data with deep SQL proficiency
Preferred experience with metrics governance and semantic/metrics layers or ontologies
Capital One will not sponsor a new applicant for employment authorization for this position

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
Reasonable accommodations for applicants who require them