Lead Analytics Engineer at Scribd, Inc. builds governed data models and semantic layers for AI-native, self-service analytics. Scribd Flex supports versatile workstyles.

This senior individual contributor shapes technical foundations, modeling standards, and development practices across Analytics Engineering. You will guide architecture, governance, quality, tooling, and developer experience while connecting investments to company priorities. The work supports Finance, Legal, Operations, Marketing, Research, and other business teams.

Key Responsibilities:
Shape Analytics Engineering foundations, standards, and development practices
Build canonical datasets, shared metrics, and semantic layers
Design quality, observability, lineage, and evaluation systems




Guide technical decisions and communicate tradeoffs to senior leaders
Develop AI agents and analytical tools for company workflows

Requirements:
10+ years in analytics engineering, data engineering, or related disciplines
Depth building governed canonical models and semantic layers
Advanced SQL and up-to-date data stack production experience
Experience leading cross-functional initiatives through production adoption
Excellent communication with technical and business stakeholders

Bring technical leadership, advanced SQL, and trusted data product expertise to Scribd, Inc.’s AI-native analytics foundation.
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📌 Lead Analytics Engineer Ai Data Toronto
🏢 Scribd
📍 Toronto