AI-Enabled Supply Chain Engineer I

Rocket Lab Corporation; Long Beach (CA); On-site; USD 67,000 - 84,000; Full time

Benefits offered by this job

Employee Stock Purchase Program

Stock as part of total compensation

Comprehensive medical plans

Dental and vision coverage

Paid vacation and holidays

EV charging subsidy

Onsite fitness centers

Dependent care accounts

401(k) with company match

Job summary

Rocket Lab Corporation in California is seeking a Business Systems Engineer I to lead AI-driven initiatives across the Supply Chain. You will identify opportunities for continuous improvement and help integrate intelligent agents and automation into procurement, planning, and logistics.

Responsibilities include developing diagnostics, deploying ML models, and delivering high-quality analytics. The role emphasizes problem-solving, collaboration, and scalable AI solutions.

Qualifications

• Bachelor’s degree or equivalent years of work experience.
• Experience with SQL, R, Python, or Power BI.
• Exposure to ERP systems.

Responsibilities

• Conduct in-depth analyses using SQL, R, Power BI, Python, and other tools.
• Lead the design, development, and implementation of AI-driven tools and systems.
• Collaborate with cross-functional teams to identify AI integration opportunities.
• Develop and deploy machine learning models for forecasting, inventory, procurement, and logistics.
• Identify opportunities for efficiencies and automation using AI.
• Contribute to procedures and documentation for AI-enabled tools.
• Provide training and support on new AI tools, reports, and processes.
• Identify and propose cost-reduction opportunities leveraging AI.

Skills

SQL

R

Python

Power BI

ERP exposure

Education

Bachelor's degree or equivalent

Tools

ERP systems

Job description

Rocket Lab Corporation in California is seeking a Business Systems Engineer I to lead AI-driven initiatives across the Supply Chain. You will identify opportunities for continuous improvement and help integrate intelligent agents and automation into procurement, planning, and logistics.

Responsibilities include developing diagnostics, deploying ML models, and delivering high-quality analytics. The role emphasizes problem-solving, collaboration, and scalable AI solutions.