Global Spare Parts Inventory & Process Improvement Lead

Amazon; Boston (MA); On-site; USD 74,000 - 130,000; Full time

Job summary

Amazon.com Services LLC is seeking a Spare Parts Inventory Manager in Boston, MA to lead a global strategy for spare parts inventory. You will oversee stock, drive process improvements, and optimize supplier-related claims for equipment failures across regions.

The role requires strong analytics, SQL and advanced Excel skills, with experience in cross-functional teams and driving end-to-end projects. An emphasis on data-driven decision making is core to success in this position.

Qualifications

• 3+ years of program or project management experience.
• 3+ years of defining and implementing process improvement initiatives using data and metrics experience.
• Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL.
• Experience using data and metrics to determine and drive improvements.
• Experience working cross functionally with tech and non-tech teams.

Responsibilities

• Develop and execute a comprehensive global strategy for spare parts inventory management.
• Drive initiatives to ensure availability of the right spare parts at the right locations, reducing costs.
• Define nodal spare parts strategy to reallocate stock efficiently across sites.
• Conduct data analysis and interpret reports to identify opportunities and implement changes.
• Lead complex, cross-functional process improvement projects with global impact.
• Develop and implement success metrics to supervise initiatives.

Skills

Program management

Process improvement

Data analysis

SQL

Excel advanced

Cross-functional teamwork

Job description

Amazon.com Services LLC is seeking a Spare Parts Inventory Manager in Boston, MA to lead a global strategy for spare parts inventory. You will oversee stock, drive process improvements, and optimize supplier-related claims for equipment failures across regions.

The role requires strong analytics, SQL and advanced Excel skills, with experience in cross-functional teams and driving end-to-end projects. An emphasis on data-driven decision making is core to success in this position.