Senior Service Parts Forecasting Manager

Responsibilities

• 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.

Qualifications

• 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.

Bonus Qualifications

• 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.