Lead Analytics Engineer – Enterprise Data & AI

Zoox; Foster City (CA); On-site; USD 236,000 - 284,000; Full time

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 high-agency, hands-on Lead Analytics Engineer to bridge the gap between our complex enterprise data sources and our AI-driven decision-making systems. You will lead the design and implementation of our semantic layer and data modeling strategy, ensuring that data from SAP (S/4HANA, Ariba, BRIM, ME), Workday, Salesforce, and Anaplan is transformed into clean, performant, and AI-ready datasets. This is a critical leadership role for a builder who wants to own the data foundation that powers our intelligent agents and business-wide analytical workflows.

In this role, you will:

• Design and maintain a unified semantic model that provides a single source of truth for cross-functional stakeholders, AI Agents, Self Serve Analytics and Executive dashboards.
• Collaborate with Data & AI Engineers to structure and optimize the data that allows to query enterprise knowledge with high accuracy and low latency.
• Establish organizational standards for data modeling, version control, testing, and documentation to ensure high data quality and system maintainability.
• Implement automated testing and observability frameworks that proactively identify data anomalies and self-heal pipelines, ensuring our data is always reliable for downstream consumption.
• Partner with cross-functional business leaders to translate complex operational requirements into high-impact, scalable data solutions.

Qualifications:

• 10+ years in Data Engineering & Analytics, with extensive hands-on experience building a semantic framework using Python, SQL and modern orchestration frameworks (e.g. Airflow, Lakeflow, Argo). With at least 2+ years of hands‑on experience deploying AI generated code.
• Extensive experience using modern data stacks (e.g. Snowflake/Databricks, Big Query) to build complex, enterprise-grade data models.
• Deep understanding of data structures within large-scale enterprise platforms (SAP S/4HANA, Salesforce, Workday, etc.) and the ability to reconcile disparate schemas into clean models.
• Exceptional ability to design modular, scalable, and performant data architectures that prioritize ease of use for downstream AI agents and Analytics tools.
• A track record of driving technical projects from design to completion, mentoring junior engineers, and fostering a culture of collaboration and data excellence.

Bonus Qualifications:

• Experience using LLMs to automate data reconciliation, anomaly detection or root-cause analysis within analytics pipelines with cloud-native data platforms (e.g., Snowflake, Databricks).
• Expert-level Python & SQL skills with a focus on query optimization and performance tuning for massive datasets and reviewing AI generated code.
• Proficiency in creating self-service Analytics environments (e.g., Tableau, Streamlit) that provide actionable insights to business stakeholders.

$236,000 - $284,000 a year

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

About Zoox

Zoox is developing the first ground‑up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility‑as‑a‑service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to [e-mail] or your assigned recruiter.

Final Note

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.