Senior Manager, Consumer Analytics & Data Product (AI)

TL;DR

Senior Manager, Consumer Analytics & Data Product (AI): Leading the development of scalable consumer data models, standardized metrics, and AI-powered reporting solutions with an accent on bridging analytics, data engineering, and business teams. Focus on designing tiered data access models, driving AI-driven analytics applications, and ensuring data consistency across the organization.

Location: Must be based in New York, NY

Salary: $97,500–$120,000

Company

A global media company producing high-quality content for over 1 billion consumers across 32 territories, including iconic brands like Vogue, GQ, and Wired.

What you will do

• Define and govern core consumer metrics and dimensions to ensure data consistency.
• Own consumer revenue AI/BI and agentic reporting products, including model training and benchmarking.
• Design tiered data access models to balance self-service flexibility with governance.
• Partner with data engineering to address gaps in behavioral and customer data models.
• Deliver analytical frameworks for content attribution, audience segmentation, and revenue forecasting.
• Serve as a technical resource for analysts on SQL, Python, and AI-assisted analytics.

Requirements

• 6–8 years of experience in consumer analytics, data analytics, or analytics engineering.
• Strong proficiency in SQL, data warehousing, and BI tools such as Looker or Tableau.
• Proven ability to define metrics, semantic layers, and analytics products.
• Experience working cross-functionally with technical and business stakeholders.
• Must be based in New York, NY.

Nice to have

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

Culture & Benefits

• Competitive base salary with eligibility for discretionary bonus compensation.
• Comprehensive employee benefits package.
• Opportunity to work with world-renowned media brands and influential content platforms.
• Collaborative environment bridging technical data teams with editorial and consumer functions.