Job Summary We are looking for an experienced process improvement professional who can identify, analyze, and resolve recurring production issues in our legacy product. The ideal candidate will implement data-driven methodologies including Six Sigma principles to reduce defects, optimize processes, and improve overall product reliability and customer satisfaction.

 

 

Job Summary:

 We are looking for an experienced process improvement professional who can identify, analyze, and resolve recurring production issues in our legacy product. The ideal candidate will implement data-driven methodologies including Six Sigma principles to reduce defects, optimize processes, and improve overall product reliability and customer satisfaction.

 

Key Responsibilities

● Lead DMAIC (Define, Measure, Analyze, Improve, Control) projects to systematically eliminate defects in production processes

● Participate in and support SEPG (Software Engineering Process Group) initiatives to improve organizational process capabilities

● Implement and maintain CMM (Capability Maturity Model) practices and support process maturity assessments

● Perform statistical analysis to identify patterns, trends, and root causes of production issues

● Develop and implement process improvement strategies based on statistical evidence

● Create and maintain process capability metrics and control charts to track performance improvements

 ● Conduct Failure Mode and Effects Analysis (FMEA) to proactively identify potential failure points

● Facilitate Kaizen events and process improvement workshops with cross-functional teams

● Implement Statistical Process Control (SPC) methods to maintain process stability

● Design experiments (DOE) to optimize process parameters and reduce variability

● Develop control plans to sustain improvements and prevent regression

● Train and mentor team members on process improvement tools and methodologies

 ● Collaborate with engineering and operations teams to implement process changes Qualifications

● Bachelor's degree in Engineering, Statistics, or related technical field

 ● 5+ years of experience implementing process improvement methodologies in production environments

● Knowledge of Six Sigma processes

 ● Experience with SEPG (Software Engineering Process Group) activities and implementation

● Knowledge of CMM (Capability Maturity Model) framework and process maturity assessments

 ● Demonstrated success in reducing defects and improving process capabilities

● Strong understanding of statistical analysis and tools (Minitab, JMP, R, etc.)

 ● Experience with process mapping and value stream analysis

● Expertise in root cause analysis techniques (5 Whys, Fishbone Diagrams, Pareto Analysis)

 ● Proven ability to lead improvement projects and change management initiatives

● Strong data analysis and visualization skills

 ● Excellent communication and stakeholder management abilities

 ● Experience working with legacy systems and complex processes is highly preferred Technical Skills

● Advanced proficiency in statistical analysis methodologies

 ● Experience with process modeling and simulation techniques & methodologies

● Knowledge of Lean methodologies and waste elimination

● Ability to analyze large datasets and extract meaningful insights

● Understanding of production systems and operational workflows

 ● Experience with process documentation and standard work development Preferred Skills

● Experience with Lean methodologies and other process improvement frameworks

● Experience with production monitoring and alerting systems

● Knowledge of industry-specific regulations and standards

 ● Background in reliability engineering or quality systems

● Experience in the specific industry our product serves Added advantage Skills

● Additional certifications in Lean, Theory of Constraints, or related methodologies

● Experience in the specific industry our product serves

● Working Knowledge of Six Sigma processes and tools

● Additional training or certifications in ITIL, CMMI, or Agile methodologies

● Advanced proficiency in statistical analysis software

● Experience with process modeling and simulation tools