Lead Manufacturing Engineer, Analytics

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center.

As the world enters an era of strategic competition, Anduril is committed to bringing cutting‑edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

As a Lead Manufacturing Engineer, Analytics you will lead a small team of analysts and develop analytical solutions that support day‑to‑day decision-making for the product lines, functions, and new products under development. The right person for this role has strong technical and analytical skills that can be applied and implemented in a real‑world environment to drive outcomes for the business.

• Lead and guide a small team of analysts as they develop new solutions and maintain / improve existing solutions.
• Engage with relevant manufacturing and cross‑functional stakeholders to ensure your team’s success.
• Work with manufacturing leadership to develop and implement manufacturing solutions leveraging analytics that enhance productivity, reduce costs, and improve quality.
• Conduct detailed analysis of manufacturing data, including production metrics, process flow, and resource utilization, to identify areas for improvement.
• Collaborate with cross‑functional teams to ensure alignment of efforts with overall business objectives.
• Monitor industry trends and best practices to keep our manufacturing processes at and analytical tools the cutting edge.
• Create and maintain comprehensive documentation of analytical solutions strategies for continuous improvement.
• Lead and facilitate kaizen, lean manufacturing, or six sigma initiatives to optimize production processes.
• Provide strategic input into capacity planning and workforce management to ensure scalability of operations.
• Implement and refine manufacturing KPIs to measure performance and drive accountability.
• Support new product development from a manufacturing perspective, ensuring manufacturability and cost‑effectiveness.

• Bachelor’s degree in Manufacturing Engineering, Industrial Engineering, Operations Management, Data Science, Software Engineering or related field. Master’s degree preferred (either MBA or MS of Engineering).
• Experience and expertise developing insights and solutions using data visualization tools: SQL, Python, Typescript, Tableau, Power
  
  BI, PLTR Foundry, MS VBA, etc.
• 8+ years of experience in a manufacturing strategy or analysis role, with a track record of tangible insights and their implementations that drove results.
• 2+ years of experience in directly managing a team or experience in complex, cross‑functional project management.
• Ability to quickly understand new operations and potential issues on the product line and can speak the language.
• Strong analytical skills with the ability to collect, organize, and analyze significant amounts of information with attention to detail and accuracy.
• Strength working with manufacturing leadership to conceptualize solutions and gain / understand requirements.
• Familiarity with manufacturing software and advanced proficiency in statistical analysis and data presentation tools.
• Excellent communication and presentation skills, capable of conveying complex information in an understandable manner.
• Experience with lean manufacturing principles and process improvement methodologies such as Six Sigma.
• Ability to work collaboratively in a team environment and lead cross‑functional projects.
• Adept at managing multiple priorities in a fast‑paced manufacturing environment.
• Must be a U.S. Person due to required access to U.S. export‑controlled information or facilities.

US Salary Range: $146,000—$194,000 USD

The salary range for this role is an estimate based on a wide…