Senior Supply Chain Operations Engineer

K2 Space•Los Angeles, CA

21h

About The Position

K2 Space is hiring a Senior Supply Chain Operations Engineer to design, model, and optimize the data, metrics, and analytics behind its supply chain network. This person will serve as a subject matter expert in supply chain analytics and hardware inventory best practices, building a data-driven supply chain that improves competitive advantage and provides the accuracy and visibility needed to meet program build targets. The role requires strong understanding of ERP, MRP, and MES systems and their data, along with the ability to turn complex data into clear insights and decisions. The engineer will work closely with procurement, operations, finance, engineering, and external partners to help deliver hardware that meets cost, schedule, and quality targets for company-critical missions. The position is based in a fast-paced, ambiguous environment that requires ownership and comfort with limited structure.

Requirements

At least 3 years of experience in supply chain engineering, supply chain analytics, or operations in a hardware or manufacturing environment.
Hands-on experience extracting, cleaning, and analyzing data from ERP, MRP, and MES systems.
Experience using SQL, Python, and Excel, plus at least one data visualization tool such as Tableau or Power BI for data analysis or project scheduling.
Advanced Excel or Google Sheets skills, including complex formulas, pivot tables, and data modeling.
Solid understanding of inventory management, including min/max levels, reorder points, lead times, and BOM structures.
Experience defining KPIs and building dashboards or scorecards used by leadership to make decisions.
Strong attention to detail and a record of finding and correcting data accuracy problems across systems.
Clear communication skills and ability to explain complex analysis to technical and non-technical audiences.
Comfort working in a fast-paced, ambiguous environment with high ownership and little structure.

Nice To Haves

Bachelor’s degree in supply chain, industrial engineering, data analytics, or mathematics.
Experience at a startup or fast-growing company where tools and processes were built from scratch.
Experience using Python for automation or modeling.

Responsibilities

Design, build, and maintain dashboards using ERP, MRP, and MES data to provide visibility into inventory, material flow, supplier performance, and other supply chain KPIs.
Build a supply chain metrics framework that defines success, connects measures to company and program goals, and assigns ownership for each metric.
Audit and validate data across ERP, MRP, WMS, and PLM systems to ensure part masters, BOMs, lead times, costs, and inventory records are accurate and consistent.
Model material movement between warehouses, stocking locations, and production sites to improve flow, transit time, and handling cost.
Identify bottlenecks, redundant moves, and capacity limits in the logistics network and propose process improvements.
Review and adjust inventory parameters, including min/max levels, as demand, supply risk, or program needs change.
Work with procurement and supplier development engineering teams to generate data-driven cost insights for supplier negotiations and sourcing decisions.
Act as an analytical partner to procurement, operations, finance, and engineering on supply chain decisions.