Senior Service Parts Forecasting Manager
TLDR
Drive proactive parts availability across service centers, establishing a best-in-class forecasting discipline while maximizing fleet uptime and mitigating supply chain risk.
Own the spare parts demand forecasting model using consumption data, telemetry, and failure trends to develop proactive replenishment plans that minimize fleet downtime.
Build predictive planning dashboards and track KPIs (forecast accuracy, parts availability) to monitor inventory health and present actionable insights to senior leadership.
Identify supply risks (lead time changes, EOL parts, shortages) and provide accurate long-range demand signals to suppliers to drive mitigation strategies.
Partner cross-functionally with Engineering, Fleet Operations, and Supply Chain to incorporate vehicle changes and new parts into the demand plan.
Drive alignment on inventory investment decisions, balancing high service-level attainment against working capital efficiency.
Bachelor's degree in Supply Chain, Industrial Engineering, Data Science, Business Operations, or a related field.
5+ years in demand forecasting, inventory planning, or supply chain analytics within a service parts or aftermarket environment.
Proficiency in statistical modeling, time-series analysis, and predictive analytics applied to spare parts or MRO inventory.
Strong data analytics skills (SQL, Python, R, or equivalent) to build and maintain forecasting models from complex datasets.
Experience with ERP and inventory management systems (SAP preferred).
Exceptional cross-functional collaboration skills, with the ability to translate complex analytical outputs into executive-ready recommendations in a fast-paced environment.
Master's degree in a related field and/or industry-recognized supply chain certifications (APICS CPIM, CSCP, or equivalent).
Experience in the automotive, autonomous vehicle, or aerospace industries, particularly supporting high-mix, low-volume parts or new city launches.
Familiarity with machine learning techniques for demand sensing and experience with advanced planning systems (Kinaxis, o9, Blue Yonder, etc.).
Proficiency in data visualization tools (Tableau, Power BI, Looker) to enhance reporting and inventory health dashboards.
Zoox is building a fully autonomous vehicle fleet from the ground up, coupled with the ecosystem necessary to launch this technology into urban environments. By integrating robotics, machine learning, and innovative design, Zoox is paving the way for a new era of mobility-as-a-service.
- Founded
- Founded 2014
- Employees
- 500+ employees
- Industry
- Automotive
- Total raised
- $990M raised