Principal Engineer, Master Black Belt

Jobtailor; New Jersey; On-site; USD 150,000 - 210,000; Full time

Job summary

Jobtailor is seeking a highly accomplished Lean Six Sigma Master Black Belt to lead enterprise-wide quality and operational excellence across electronics assembly and high-volume manufacturing. You will drive transformation initiatives, build smart factory capabilities, and ensure excellence through data-driven decision making.

You will coach cross-functional teams, translate PFMEA/DFM outputs into robust process controls, and push for measurable improvements in yield, reliability, and

Qualifications

• 10–15 years of experience in high-volume, high-complexity manufacturing.
• At least 5 years in leadership or transformation roles (not necessarily people management).
• Demonstrated expertise in regression analysis, correlation analysis, DOE, SPC, PFMEA, Gauge R&R, and commonality studies.
• Proficiency with Minitab, JMP, Python, R, SQL, or equivalent tools.
• Track record of measurable improvements in yield, reliability, or process robustness.
• Excellent communication skills with executive and technical audiences.
• Background in electronics assembly, PCBA, servers, or other high-reliability industries.
• Experience coaching or mentoring technical teams in data-driven decision-making.
• Certified Lean Six Sigma Master Black Belt.
• MBA or exposure to business, finance, or economics is advantageous.
• Eligibility for applicable U.S. export-control requirements, if required for the position.

Responsibilities

• Lead enterprise-wide quality and operational excellence initiatives across high-volume manufacturing.
• Drive continuous improvement and maintain customer delivery, cost efficiency, and process metrics.
• Lead or contribute to transformation initiatives involving manufacturing risk analysis, quality, and continuous improvement.
• Define and implement systems, processes, and frameworks supporting the smart factory vision.
• Apply automation, metrology, advanced inspection and testing, and predictive analytics.
• Generate insights from data-rich environments to improve yield, reliability, and throughput.
• Collaborate with design, quality, manufacturing, test, and supplier engineering teams.
• Apply advanced statistical and analytical methods to identify, quantify, and control manufacturing risk.
• Translate DFM and PFMEA outputs into proactive process controls.
• Coach and mentor Black Belts and Green Belts.
• Foster data-driven decision-making and continuous improvement across the organization.
• Lead cross-functional teams resolving complex operational issues.
• Define, monitor, and analyze operational and quality metrics.
• Establish and standardize Lean Six Sigma methodologies and best practices.

Job description

• Lead enterprise-wide quality and operational excellence initiatives across high-performance, liquid-cooled server products and manufacturing processes
• Drive continuous improvement and maintain customer delivery, cost efficiency, and process effectiveness metrics
• Lead or contribute to transformation initiatives involving manufacturing risk analysis, quality, and continuous improvement
• Define and implement systems, processes, and frameworks supporting the smart factory vision
• Apply automation, metrology, advanced inspection and testing, and predictive analytics
• Generate insights from data-rich environments to improve yield, reliability, and throughput
• Collaborate with design, quality, manufacturing, test, and supplier engineering teams
• Apply advanced statistical and analytical methods to identify, quantify, and control manufacturing risk
• Translate DFM and PFMEA outputs into proactive process controls
• Coach and mentor Black Belts and Green Belts
• Foster data-driven decision-making and continuous improvement across the organization
• Lead cross-functional teams resolving complex operational issues
• Define, monitor, and analyze operational and quality metrics
• Establish and standardize Lean Six Sigma methodologies and best practices

Requirements

• 10–15 years of experience in high-volume, high-complexity manufacturing
• At least 5 years in leadership or transformation roles (not necessarily people management)
• Demonstrated expertise in regression analysis, correlation analysis, DOE, SPC, PFMEA, Gauge R&R, and commonality studies
• Proficiency with Minitab, JMP, Python, R, SQL, or equivalent tools
• Track record of measurable improvements in yield, reliability, or process robustness
• Excellent communication skills with executive and technical audiences
• Background in electronics assembly, PCBA, servers, or other high-reliability industries
• Experience coaching or mentoring technical teams in data-driven decision-making
• Certified Lean Six Sigma Master Black Belt
• MBA or exposure to business, finance, or economics is advantageous
• Eligibility for applicable U.S. export-control requirements, if required for the position

Core Competencies

Demonstrates expertise in leading quality and operational excellence initiatives within high-volume manufacturing environments, utilizing advanced statistical methods and Lean Six Sigma methodologies to drive continuous improvement and data-driven decision-making.

Highest-signal resume keywords

• Lean Six Sigma Master Black Belt
• Regression Analysis
• Minitab
• High-Volume Manufacturing Experience
• Data-Driven Decision-Making

Hard Skills

• Statistical Process Control
• Design of Experiments
• Process Failure Mode and Effects Analysis
• Gauge R&R
• Predictive Analytics
• Advanced Inspection and Testing
• Yield Improvement
• Reliability Engineering
• Continuous Improvement
• Operational Metrics Analysis

Soft Skills

• Excellent Communication Skills
• Coaching and Mentoring

Certifications & Qualifications

• Lean Six Sigma Master Black Belt

Industry Keywords

• Electronics Assembly
• PCBA
• High-Reliability Industries
• Smart Factory
• Manufacturing Risk Analysis

Tools & Technologies

• Python
• R
• SQL
• JMP