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

📌 Lead Analytics Engineer AI Data (Toronto)
🏢 Scribd
📍 Toronto