Senior Product Manager – AI Enablement, Analytics

🕒 il y a 7 jours

🗽 New York, Virginia – Distant

🗽 New York – Remote ⚔️ Virginia – Remote

💵 $182 500 - $208 300 / an

⏰ Temps Plein

🟠 Senior

✅ Responsable Produit

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 0%

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Capital One

Site WebLinkedInTous les Emplois

10 000+ employés

🏦 Banque

💳 Fintech

💸 Finance

💰 Post-IPO Equity en 2023-05

Banking • Fintech • Finance

Capital One est une entreprise de services financiers spécialisée dans les cartes de crédit, la banque et les prêts. Engagée dans l'innovation, Capital One combine la technologie et des stratégies basées sur les données pour améliorer l'expérience client et optimiser ses services bancaires. L'entreprise met également l'accent sur la diversité, l'inclusion et une culture de travail collaborative tout en offrant une large gamme d'opportunités d'emploi dans divers domaines, notamment la finance, la technologie et le service client.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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