Jobs · Engineering · California

Director, Data Analytics and Artificial Intelligence

True Classic · Calabasas, CA · 4 wk ago
On-siteEngineeringFull-time

About the role

This role leads the data architecture, infrastructure, reporting intelligence, and AI capabilities at True Classic, enabling accurate, timely, cost-effective, and actionable insights for every employee and agent.

Responsibilities

  • Own the Google BigQuery warehouse for performance, reliability, scalability, and cost efficiency
  • Establish monitoring, alerting, and clear data contracts across the platform
  • Lead the development of clean, layered, documented, tested, and maintainable data models
  • Deliver and continuously improve the Omni reporting layer
  • Lead the in-house AI team in building applications that democratize access to data
  • Champion automated workflows that capture data, model information, identify what is happening, recommend action, facilitate decisions, execute work, and feed outcomes back into the system
  • Partner with business and functional leaders to translate ambiguous questions into clear, measurable insights and actionable recommendations
  • Collaborate across various teams to ensure consistent company metrics, data, technical, and governance standards

Qualifications

  • Significant experience in data architecture, data engineering, pipeline engineering, dimensional modeling, semantic modeling, analytics, and artificial intelligence
  • Strong technical and analytical skills, including experience building documented, tested, version-controlled, and maintainable data models
  • Demonstrated ability to lead and grow technical teams, establish a technical roadmap, manage complex systems, and determine when to build versus buy

Preferred Qualifications

  • Experience with Google BigQuery, Daasity, dbt, Omni, Supabase, Vercel, Claude Code, Claude Design, Codex, GitHub, Google Workspace, and SSO
  • Familiarity with business systems including Shopify, Amazon, NetSuite, Ramp, ShipBob, Stord, and other ecommerce, finance, and third-party logistics platforms
  • Experience building a data or AI platform from the ground up or supporting demand planning, forecasting, inventory, or other commercially significant business functions

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