Job Description
Location:
New York, NYThe 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.
Key Responsibilities
Data Modeling & Metrics
Partner with data engineering to address gaps in behavioral and customer data models
Define and govern core consumer metrics and dimensions
Ensure consistent implementation across query layers, BI tools, and AI reporting
Analytics Product Ownership (Agentic Reporting)
Own consumer revenue AI/BI and agentic reporting products
Lead model training, benchmarking, and new AI-driven analytics applications
Drive user onboarding, adoption, and ongoing enablement
Data Access & Governance
Design a tiered data access model for analysts, business users, and executives
Balance self-service flexibility with data consistency and governance
Cross-Functional Alignment
Partner with analytics and analytics engineering to ensure consistency of metrics and definitions
Align on evolving constructs like audience segments, channels, and products
Insights & Decision Support
Deliver analytical frameworks and toolkits, including, content attribution & monetization, audience segmentation & RFM, and revenue & subscription forecasting
Support editorial, audience, and consumer teams with actionable insights
KPI Reporting & Knowledge Sharing
Develop reporting aligned to departmental KPIs
Share multi-brand insights and best practices across teams
Technical Leadership
Serve as a resource for analysts on SQL, Python, and AI-assisted analytics
Elevate team capabilities in modern analytics tools and methodologies
Qualifications
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
Impact
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.
What happens next?
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.