Enterprise Data Governance Analyst

• Maintain and evolve Zoox's Enterprise Business Glossary, ensuring clear definitions, ownership, and alignment across systems and teams
• Partner with BizApps, PLM, AI/ML, Safety, and Engineering to validate terms, resolve definition gaps, and maintain semantic consistency
• Document business rules, data standards, metadata requirements, and critical data elements to support enterprise governance
• Support data quality initiatives by identifying issues, analyzing root causes, and helping define remediation approaches
• Contribute to evaluating Zoox's Databricks environment to understand current capabilities and opportunities for governance at scale
• Maintain governance documentation, procedures, and workflows while supporting working groups and cross-team communications

This role strengthens Zoox's data foundations by ensuring data is high-quality, well-defined, secure, and usable for engineering, business, and AI/ML teams, supporting the development of autonomous vehicle technology that aims to provide next-generation mobility-as-a-service in urban environments.

• BS degree in Engineering, Statistics, Data Science, Computer Science, or a related technical field
• 4 to 6 years of experience in data management or data governance within a regulated environment
• Strong analytical skills with the ability to break down ambiguous problems into structured components
• Experience with SQL, Python, Databricks, or similar data analysis tools
• Excellent written and verbal communication skills with the ability to translate technical concepts for business stakeholders
• Detail-oriented with strong organizational skills and experience managing multiple concurrent tasks

No specific benefits, compensation, or salary information mentioned in the job description.

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market, aiming to provide the next generation of mobility-as-a-service in urban environments.