Senior Manager, AI-Driven Consumer Analytics & Data

condenast

New York (NY)

On-site

USD 97,500 - 120,000

Full time

14 days+

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Job summary

Condé Nast in New York, NY, is seeking a Senior Manager, Consumer Analytics & Data Product to lead scalable consumer data models, standardized metrics, and AI-powered reporting. This role bridges analytics, data engineering, and business teams to ensure data is trusted, consistent, and actionable, while enabling self‑service analytics and agentic insights across the organization.

The position offers a competitive salary and benefits package, with opportunities to influence data‑driven decision

Qualifications

  • 6–8 years in consumer analytics, data analytics, or analytics engineering.
  • Strong experience with SQL, data warehousing, and BI tools (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.

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.

Skills

SQL
Data warehousing
BI tools
Metrics definition
Analytics products
Cross-functional collaboration
AI/agentic reporting

Tools

Looker
Tableau

Job description

Condé Nast in New York, NY, is seeking a Senior Manager, Consumer Analytics & Data Product to lead scalable consumer data models, standardized metrics, and AI-powered reporting. This role bridges analytics, data engineering, and business teams to ensure data is trusted, consistent, and actionable, while enabling self‑service analytics and agentic insights across the organization.

The position offers a competitive salary and benefits package, with opportunities to influence data‑driven decision

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