Senior Supply Chain Operations Engineer
You will design, model and optimize the data, metrics and analytics behind K2 Space’s supply chain network. You will be the subject matter expert in supply chain analytics and inventory best practices for hardware, building a data-driven supply chain that gives us a competitive advantage, owning the accuracy and visibility needed to hit program build targets, and helping team members hold the same high standards in how they use data. Key skills include a deep understanding of ERP, MRP and MES systems and the data in them, the ability to turn complex data into clear insights and decisions, and strong knowledge of inventory management, logistics network modeling and Bill of Material (BOM) data integrity. You will work closely with procurement, operations, finance, engineering and external partners to deliver hardware that meets cost, schedule and quality targets for our company-critical missions.
Responsibilities
Design, build and maintain dashboards that give real-time visibility into inventory, material flow, supplier performance and other supply chain KPIs, using existing ERP, MRP, and MES data
Build a metrics framework for the supply chain team that defines what success looks like, ties each measure to company and program goals, and sets clear ownership for each metric
Audit and validate data across systems (ERP, MRP, WMS, PLM) so that part masters, BOMs, lead times, costs and inventory records are accurate and consistent
Model how material moves between warehouses, stocking locations and production sites to make flow, transit time and handling cost more efficient
Find bottlenecks, redundant moves and capacity limits in the logistics network, and propose process improvements
Review inventory parameters such as min/max levels regularly and adjust them as demand, supply risk, or program needs change
Work with procurement and supplier development engineering teams to generate data-driven cost insights to use in supplier negotiations and sourcing decisions
Act as the analytical partner for procurement, operations, finance and engineering on supply chain decisions
Qualifications
3+ years of experience in supply chain engineering, supply chain analytics or operations in a hardware or manufacturing environment
Strong hands-on experience pulling, cleaning and analyzing data from ERP, MRP and MES systems
Experience using SQL, python, and excel and 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 that leadership uses to make decisions
Strong attention to detail and a track record of finding and fixing data accuracy problems across systems
Clear communication skills, with the ability to explain complex analysis to both technical and non-technical audiences
Comfort working in a fast-paced, ambiguous environment with high ownership and little structure
Nice to Have
Bachelor’s degree in supply chain, industrial engineering, data analytics, or mathematics
Experience at a startup or a fast-growing company where you built tools and processes from scratch
Experience using Python for automation or modeling
Compensation and Benefits:
Base salary range for this role is $130,000 - $165,000 + equity in the company
Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level
Comprehensive benefits package including paid time off, medical/dental/vision coverage, life insurance, paid parental leave, and many other perks