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 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.

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