Senior Manager, Consumer Analytics & Data Product

Condé Nast•New York, NY

2d•Onsite

About The Position

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.

Requirements

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

Nice To Haves

Experience with AI/BI or agentic reporting
Background in media, subscription, or e-commerce businesses

Responsibilities

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
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
Design a tiered data access model for analysts, business users, and executives
Balance self-service flexibility with data consistency and governance
Partner with analytics and analytics engineering to ensure consistency of metrics and definitions
Align on evolving constructs like audience segments, channels, and products
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
Develop reporting aligned to departmental KPIs
Share multi-brand insights and best practices across teams
Serve as a resource for analysts on SQL, Python, and AI-assisted analytics
Elevate team capabilities in modern analytics tools and methodologies