Hiring: Principal Engineer, Master Black Belt Company: ZT Systems Location: Secaucus, NJ Job Posted Time: 2026-09-15 13:09:50 Target Skills & Keywords : Assembly, Python, R, SQL, Six Sigma About the job Experience: •15 years of experience in high-volume, high-complexity manufacturing, with at least 5 years in leadership or transformation roles (not necessarily people management). •At least 5 years in leadership or transformation roles (not necessarily people management). Required Skills: •Lead or contribute to transformation initiatives, helping set new standards for how ZT approaches manufacturing risk analysis, quality, and continuous improvement. •Define and implement new systems, processes, or frameworks that support the smart factory vision, including automation, metrology, advanced inspection and testing, and predictive analytics. •Leverage deep, data-rich environments and tools to generate insights that improve yield, reliability, and throughput. •Collaborate across design, quality, manufacturing, test, and supplier engineering to drive solutions that integrate seamlessly into production. •Translate DFM and PFMEA outputs into actionable process controls, ensuring proactive prevention of variation rather than reactive correction. •Coach and mentor Black Belts and Green Belts to develop technical skills, leadership capabilities, and project execution excellence. •Foster a culture of continuous improvement and data-driven decision-making across all levels of the organization. •Lead cross-functional teams to resolve complex operational issues and implement enterprise-level improvement initiatives. Qualifications: •The right person for this role is an agent of change and has exceptional analytical capabilities, thrives in a fast-paced environment, loves problem-solving, is a good communicator, and is passionate about enabling the future of cloud computing. •MBA or exposure to business, finance or economics is advantageous. •10–15 years of experience in high-volume, high-complexity manufacturing, with at least 5 years in leadership or transformation roles (not necessarily people management). •Demonstrated expertise in statistical and analytical methods such as regression analysis, correlation analysis, DOE, SPC, PFMEA, Gauge R&R, and commonality studies. •Proficiency with data-driven tools such as Minitab, JMP, Python, R, SQL (or equivalent) to analyze and interpret large, complex datasets. •Track record of driving measurable improvements in yield, reliability, or process robustness. •Excellent communication skills with the ability to engage at both executive and technical levels. •Background in electronics assembly, PCBA, servers, or other high-reliability industries (e.g., aerospace, medical devices, automotive, etc.). •Certified Lean Six Sigma Master Black Belt. •Exposure to or knowledge of AI/ML toolsets for statistical problem solving, predictive analytics, or anomaly detection. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!