SAP EAM - Business Systems Analyst
Foster City, CA Information Technology - Business Applications Full-time Hybrid
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The SAP EAM - Business Systems Analyst owns the implementation and evolution of maintenance and configuration management solutions for software-defined vehicles using SAP EAM. This role partners closely with engineering and operations to manage vehicle genealogy firmware and software representation within BOMs and asset configuration across the full product lifecycle. The ideal candidate brings strong domain expertise in EAM-driven business processes, leads complex system implementations, and ensures high-quality documentation standards and operational readiness.
In This Role You Will...
• Solution Ownership: Own the functional design, configuration, and validation of the SAP EAM solution, identifying gaps and driving scalable end-to-end solutions. • Delivery & Governance: Ensure disciplined execution through clear scope design, testing, cutover, and project documentation while tracking and driving issue resolution to closure. • Leadership & Collaboration: Serve as functional lead for vendor implementations, partnering with internal teams to deliver custom integrations between Fleet Orchestration platforms and SAP. • Communication & Enablement: Communicate clearly across stakeholders, facilitate user training, and demonstrate strong written and verbal ownership of deliverables.
Qualifications
Background BSMS in Engineering or equivalent practical experience with 6 years leading SAP EAM implementations for complex hardware-software products in automotive SDVautonomous aerospace or related industries.
Technical Depth Deep hands-on expertise in SAP EAM, including ECU-centric assets, complex BOMs, product genealogy, and serialized batch-managed inventory and equipment hierarchies.
Systems & Execution Experience driving end-to-end delivery-requirements, solution design, EAM integrations, middleware, custom APIs, functional specifications, UAT, and production cutover-using Agile or Waterfall methodologies.
Ownership & Influence Proven ability to partner cross-functionally, communicate clearly, drive scalable process improvements, and operate effectively in fast-moving, high-growth environments.
Bonus Qualifications
• SAP Expertise: Combined hands-on experience across SAP EAM, FSM, and Master Data Management, including Equipment BOMs, Manufacturing BOMs, and Task Lists. • Product Structure & Compliance: Experience validating actual vs. allowed product structures, iPPEPDN, managing part supersession and interchangeability. • Maintenance Modeling: Strong knowledge of hierarchical task lists supporting complex maintenance programs. • Integration: Proven experience integrating SAP EAM with EWM, PP, and QM.
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 and positioning within a level are determined by a range of factors, including but not limited to a candidates relevant years of experience, domain knowledge, and interview performance.
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. Were looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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Accommodations If you need an accommodation to participate in the application or interview process, please reach out to emailprotected or your assigned recruiter.
A 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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