Principal Lead Quality 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 Principal Lead Engineer for analytics, you will build a small team of quality engineers who will work inside & outside the organization to define, design, develop, and deliver data model architectures and analytics capabilities that support quality management. This role combines great analytics capabilities with real-world quality improvements. You will do both and lead the investment for the quality organization across the entire company. The right person for this role has knowledge of manufacturing, product development, sub-system performance criteria and metrology while building confidence with engineers and leaders in the company through objective, evidence base, data analysis. You will work across the organization, both at HQ and across the Anduril global sites. If you are someone who loves to build world-class Quality processes, work hands-on, and be accountable for results, then this role is for you.  

WHAT YOU’LL DO

• Develop and lead quality engineer's analytics process, including the core analytics, product & process improvements, and strategic data architecture investments.
• Grow, develop, and lead a small team of quality engineers who will develop and deliver the analytics capability which can be used to coached engineers as well as be used to solve complex problems and support our development teams.
• Work cross-functionally to define and execute the analytic capabilities and roadmaps to meet our internal and customer quality requirements.
• Develop and maintain analytics documentation, ensuring accuracy and compliance with quality requirements
• Lead large, complex data improvement projects driving root cause analysis using various problem-solving tools and methodologies (e.g., 5 Whys, Fishbone Diagram, FMEA, statistical interaction analysis, data pattern recognition analysis, learning models, risk based processes, simulation modeling, etc).
• Lead product health data analysis and improvement activities with partner engineers for impact.
• Ability to analyze data and generate insights for scaling quality management processes and quality improvements across hardware products. 
• Design, build, and improve non-conformance management software systems to effectively capture, track, and resolve quality issues.
• Analyze data and develop insights to scale quality management processes across hardware products.

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Engineering or similar technical field
• Experience in Engineering, Manufacturing, or Quality in aircraft product making and complex production process management.
• Experience in growing & developing teams and managing resources in a technical, data rich environment.
• Detail-oriented with strong analytical and organizational skills
• Working knowledge of quality management practices for aviation/aircraft systems, PCBA, harnessing, avionics, systems integration, composites/control surfaces, propulsion systems, and lethality systems. 
• Experience in creating and maintaining production quality reporting systems to provide accurate and actionable insights into product performance and quality metrics.
• Experience partnering with Deployment, Manufacturing Engineering, Reliability Engineering, Chief Engineers, Architects, responsible engineers, and customer facing team members to analyze, prepare, and present CAPA findings to defense customers.
• Working knowledge of product development methodologies such as Failure Modes and Effects Analysis (FMEA), Advanced Product Quality Planning (APQP), Production Part Approval Process (PPAP) elements such as Measurement Systems Analysis (MSA), and Geometric Dimensioning and Tolerancing (GD&T).
• A strong ownership mindset with demonstrated capability to drive projects from start to completion.
• Proficiency in database management, including SQL and NoSQL databases, and data modeling
• Analytical skills and experiences for data mining, data quality, metrics generation, issue management systems, and statistical analysis tools (MatLab, JMP, MiniTab, etc).