Senior Manager, Consumer Analytics & Data Product

United States·New Yorksenior

AnalyticsData & AI

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Quick Summary

Requirements Summary

Experience with AI/BI or agentic reporting, and background in media, subscription, or e-commerce businesses Impact Establishes trusted, standardized consumer metric

Technical Tools

AnalyticsData & AI

Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company’s portfolio includes many of the world’s most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others.

Location:

New York, NY

The Senior Manager, Consumer Analytics & Data Product leads the development of scalable consumer data models, standardized metrics, and AI-powered reporting solutions.

This role bridges analytics, data engineering, and business teams to ensure data is trusted, consistent, and actionable, while enabling both self-service analytics and agentic (AI-driven) reporting across the organization.

Responsibilities

~1 min read

Data Modeling & Metrics

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Partner with data engineering to address gaps in behavioral and customer data models
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Define and govern core consumer metrics and dimensions
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Ensure consistent implementation across query layers, BI tools, and AI reporting

Analytics Product Ownership (Agentic Reporting)

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Own consumer revenue AI/BI and agentic reporting products
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Lead model training, benchmarking, and new AI-driven analytics applications
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Drive user onboarding, adoption, and ongoing enablement

Data Access & Governance

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Design a tiered data access model for analysts, business users, and executives
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Balance self-service flexibility with data consistency and governance

Cross-Functional Alignment

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Partner with analytics and analytics engineering to ensure consistency of metrics and definitions
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Align on evolving constructs like audience segments, channels, and products

Insights & Decision Support

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Deliver analytical frameworks and toolkits, including, content attribution & monetization, audience segmentation & RFM, and revenue & subscription forecasting
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Support editorial, audience, and consumer teams with actionable insights

KPI Reporting & Knowledge Sharing

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Develop reporting aligned to departmental KPIs
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Share multi-brand insights and best practices across teams

Technical Leadership

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Serve as a resource for analysts on SQL, Python, and AI-assisted analytics
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Elevate team capabilities in modern analytics tools and methodologies

Requirements

~1 min read

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

Establishes trusted, standardized consumer metrics
Enables scalable self-service and AI-driven analytics
Drives data-informed decision-making across consumer and editorial functions

The expected base salary range for this position is from $97,500 - $120,000. Salary offers are based on a wide range of factors including but not limited to relevant skills, training, experience, and education.

In addition to salary and a generous employee benefits package, successful candidates may also be eligible to receive discretionary bonus compensation.

This is a guild position.

If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile.

Condé Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.