Senior Manager, Consumer Analytics & Data Product
Condé Nast · New York, NY · 2 wk ago
Marketing$98k–$120k/yrFull-time
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
Pay
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.