3 months ago

Senior Manager, Consumer Analytics & Data Product

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Lead development of scalable consumer data models, standardized metrics, and AI-powered reporting products. Bridge analytics, data engineering, and business teams to ensure data is trusted, consistent, and actionable. Own consumer revenue AI/BI and agentic reporting, drive model training and benchmarking, and enable self-service and onboarding. Establish governance and tiered data access while delivering KPI reporting, frameworks, and toolkits to editorial and consumer teams.

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Develop scalable consumer data models and standardized metrics in partnership with data engineering.
•Define and govern core consumer metrics and dimensions, ensuring consistent implementation across query layers, BI tools, and AI reporting.
•Own consumer revenue AI/BI and agentic reporting products, including model training, benchmarking, and onboarding/adoption.
•Design a tiered data access model that balances self-service flexibility with consistency and governance.
•Deliver analytical frameworks and KPI-aligned reporting (e.g., content attribution & monetization, audience segmentation & RFM, revenue & subscription forecasting) to support editorial and consumer teams.

Pay and Benefits

Salary: USD 97,500 - 120,000 annually

Key Requirements

•6–8 years in consumer analytics, data analytics, or analytics engineering.
•Strong SQL experience, data warehousing knowledge, and BI tools such as Looker and Tableau.
•Ability to define metrics, semantic layers, and analytics products.
•Experience working cross-functionally with technical and business stakeholders.
•Preferred: AI/BI or agentic reporting experience, plus background in media, subscription, or e-commerce businesses.

Experience:MediaSubscriptionE-commerce

Skills:Cross-functional collaborationData governanceStakeholder alignmentEnablementTechnical leadership

Tech Stack:SQLPythonAIBI toolsLookerTableauData warehousing

Company Brief

Conde Nast

Conde Nast is a global media company publishing premium magazines, digital brands, and video content across fashion, lifestyle, culture, and luxury sectors. It creates editorial, advertising, and branded-content experiences for audiences and marketers worldwide.

Industry: Publishing

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: New York City, United States

Founded: 1909

Website LinkedIn

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Conde Nast

3 months ago

Senior Manager, Consumer Analytics & Data Product

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 18 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Develop scalable consumer data models and standardized metrics in partnership with data engineering.
•Define and govern core consumer metrics and dimensions, ensuring consistent implementation across query layers, BI tools, and AI reporting.
•Own consumer revenue AI/BI and agentic reporting products, including model training, benchmarking, and onboarding/adoption.
•Design a tiered data access model that balances self-service flexibility with consistency and governance.
•Deliver analytical frameworks and KPI-aligned reporting (e.g., content attribution & monetization, audience segmentation & RFM, revenue & subscription forecasting) to support editorial and consumer teams.

Pay and Benefits

Salary: USD 97,500 - 120,000 annually

Key Requirements

•6–8 years in consumer analytics, data analytics, or analytics engineering.
•Strong SQL experience, data warehousing knowledge, and BI tools such as Looker and Tableau.
•Ability to define metrics, semantic layers, and analytics products.
•Experience working cross-functionally with technical and business stakeholders.
•Preferred: AI/BI or agentic reporting experience, plus background in media, subscription, or e-commerce businesses.

Experience:MediaSubscriptionE-commerce

Skills:Cross-functional collaborationData governanceStakeholder alignmentEnablementTechnical leadership

Tech Stack:SQLPythonAIBI toolsLookerTableauData warehousing

Company Brief

Conde Nast

Industry: Publishing

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: New York City, United States

Founded: 1909

Website LinkedIn