Head of Enterprise Analytics & AI Data Foundation

Zoox

Foster City (CA)

On-site

USD 236,000 - 284,000

Full time

14 days+

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Job summary

Zoox is seeking a Lead Analytics Engineer to bridge enterprise data sources and AI-driven decision systems. You will own the semantic layer and data modeling strategy, transforming data from SAP, Workday, Salesforce, and Anaplan into clean, AI-ready datasets.

In this hands-on leadership role, you will design scalable architectures, set data standards, and mentor engineers while collaborating with AI and analytics teams to deliver trusted insights across the organization.

Qualifications

  • 10+ years in Data Engineering & Analytics with hands-on semantic framework experience.
  • Experience building enterprise-grade data models using modern data stacks.
  • Ability to translate complex requirements into scalable data solutions and mentor engineers.

Responsibilities

  • Design and maintain a unified semantic model for cross-functional stakeholders and AI agents.
  • Collaborate with Data & AI Engineers to optimize enterprise data for low-latency querying.
  • Establish standards for data modeling, version control, testing, and documentation.
  • Implement automated testing and observability to detect data anomalies and self-heal pipelines.
  • Partner with business leaders to translate requirements into scalable data solutions.

Skills

Python
SQL
Semantic modeling
Data architecture
Mentoring
Project leadership

Tools

Airflow
Lakeflow
Argo
Snowflake
Databricks
BigQuery
S/4HANA
Salesforce
Workday
Ariba
Anaplan

Job description

Zoox is seeking a Lead Analytics Engineer to bridge enterprise data sources and AI-driven decision systems. You will own the semantic layer and data modeling strategy, transforming data from SAP, Workday, Salesforce, and Anaplan into clean, AI-ready datasets.

In this hands-on leadership role, you will design scalable architectures, set data standards, and mentor engineers while collaborating with AI and analytics teams to deliver trusted insights across the organization.

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