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Staff Analyst, Contingent Workforce Systems
Staff Analyst, Contingent Workforce SystemsZoox • Foster City, CA, US
Staff Analyst, Contingent Workforce Systems

Staff Analyst, Contingent Workforce Systems

Zoox • Foster City, CA, US
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Job Description

Job Description

We are seeking a results-driven Senior leader for Contingent Workforce Systems to lead the strategy, design, implementation, and lifecycle management of systems supporting our contingent workforce—including Workforce Management (WFM), Learning Management Systems (LMS), and Vendor Management Systems (VMS). This role will develop technology roadmaps, manage platform integrations, and align system capabilities with evolving business needs.

In this role, you will :

  • Design scalable, secure system architectures integrating WFM, VMS (e.g., SAP Fieldglass, Beeline), and LMS (e.g., Cornerstone, Workday Learning, SAP SuccessFactors)
  • Own lifecycle management of contingent workforce platforms including vendor onboarding, updates, and enhancements
  • Lead vendor selection and performance management (Fieldglass, Beeline, Kronos, UKG, etc.)
  • Ensure alignment with business, HR, legal, and procurement policies
  • Create and execute training, communication, and adoption strategies for users and business partners.

Qualifications

  • Bachelor’s degree in Information Systems, Computer Science, Business, or related field; Master’s degree preferred.
  • 7–10+ years in enterprise program management or solution architecture.
  • Direct experience managing or implementing VMS (Beeline, SAP Fieldglass), WFM (Kronos / UKG), and LMS (Cornerstone, Workday Learning, SAP SuccessFactors)
  • Strong knowledge of contingent labor models and compliance frameworks
  • Experience with integrations between VMS / LMS and ERP / HRIS systems (e.g., SAP, Oracle, Workday)
  • Proficient in project / program management tools (Jira, MS Project, Smartsheet)
  • Bonus Qualifications

  • PMP, TOGAF, or SAFe certification
  • 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.

    Follow us on LinkedIn

    Accommodations

    If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com 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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