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Manager Statistical Process Control Jobs in North Carolina

Process Engineer

Greensboro, NC · On-site

$100K - $140K/yr

Manage MOCVD reactor maintenance, including seasoning, part changes, and troubleshooting hardware ... Strong background in statistical process control. Salary Range The salary range for this position ...

Process Engineer

Greensboro, NC · On-site

$100K - $140K/yr

Manage MOCVD reactor maintenance, including seasoning, part changes, and troubleshooting hardware ... Strong background in statistical process control. Salary Range The salary range for this position ...

Claremont Facilities and Reliability Manager Schedule: Hiring for flex-40 shift, Monday-Friday Summary of Position: The Process Control Technician (PCT) is the process area subject matter technical ...

Claremont Facilities and Reliability Manager Schedule: Hiring for flex-40 shift, Monday-Friday Summary of Position The Process Control Technician (PCT) is the process area subject matter technical ...

Senior Process Engineer

Mooresville, NC · On-site

$98K - $127K/yr

Obtain data, perform statistical analyses, and write process control reports. Provide guidance to ... Support management with identifying mentoring opportunities to create team redundancy & backfill ...

Establish, monitor, and maintain statistical process control (SPC) limits for key products and ... Plan, execute and manage product/process continuous improvement programs that support several value ...

Establish, monitor, and maintain statistical process control (SPC) limits for key products and ... Plan, execute and manage product/process continuous improvement programs that support several value ...

Use measuring devices, testing equipment, and statistical control processes to perform inspections. * Conduct ISIR, FAI, and conformity inspections. * Identify and report non-conformance issues.

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Manager Statistical Process Control information

What is the role of a statistical manager?

A statistical manager oversees the application of statistical methods to monitor and improve processes, ensuring quality and consistency. They analyze data, develop control strategies, and often use tools like SPC (Statistical Process Control) to support decision-making and process optimization.

What is the difference between Manager Statistical Process Control vs Quality Control Supervisor?

AspectManager Statistical Process ControlQuality Control Supervisor
CertificationsSix Sigma, Statistical Analysis CertificationsQuality Management Certifications (e.g., CQE)
Work EnvironmentManufacturing, Production, Continuous ImprovementManufacturing, Production, Inspection
Employer & Industry UsageManufacturers, Automotive, ElectronicsManufacturers, Food & Beverage, Pharmaceuticals
Primary FocusAnalyzing data, process optimization, reducing variabilityInspecting products, ensuring quality standards

The Manager Statistical Process Control focuses on analyzing data and optimizing manufacturing processes to reduce variability, often leading continuous improvement initiatives. In contrast, the Quality Control Supervisor primarily oversees product inspections and ensures quality standards are met during production. Both roles are essential in manufacturing but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a Manager Statistical Process Control, and why are they important?

To thrive as a Manager Statistical Process Control, you need expertise in statistics, quality management, and process improvement, typically supported by a degree in engineering, statistics, or a related field. Familiarity with statistical software (such as Minitab or JMP), Six Sigma certifications, and quality management systems is essential. Strong analytical thinking, leadership, and effective communication skills help drive team performance and foster continuous improvement. These skills are crucial for ensuring product quality, optimizing manufacturing processes, and sustaining organizational competitiveness.

What are Manager Statistical Process Control roles?

A Manager of Statistical Process Control (SPC) oversees the implementation and management of statistical methods to monitor and improve manufacturing or business processes. They are responsible for ensuring that processes remain stable, efficient, and capable of meeting quality standards by analyzing data, identifying trends, and addressing variations. This role often involves leading teams, training staff on SPC tools, and collaborating with other departments to drive continuous improvement initiatives.

What are the highest paying jobs in statistics?

High-paying jobs in statistics include roles such as Data Scientist, Quantitative Analyst, and Statistical Director, often requiring advanced degrees and expertise in programming, machine learning, and data analysis tools. These positions typically offer six-figure salaries, especially in finance, technology, and consulting industries.

What are some common challenges faced by a Manager of Statistical Process Control, and how can they be addressed?

A Manager of Statistical Process Control often faces challenges such as ensuring consistent data quality, gaining team buy-in for process improvements, and communicating complex statistical findings to non-technical stakeholders. Addressing these challenges typically involves implementing standardized data collection procedures, providing ongoing training to staff, and collaborating closely with cross-functional teams to foster a culture of continuous improvement. Clear, concise reporting and regular feedback sessions can help bridge communication gaps and build trust in SPC initiatives.

What are the 7 tools of SPC?

The 7 tools of Statistical Process Control (SPC) are used by managers in quality control to analyze and improve processes. They include the Pareto chart, cause-and-effect diagram, control chart, histogram, scatter diagram, flowchart, and check sheet. Mastery of these tools helps in identifying variations and maintaining process stability.

How much do process control engineers make in the US?

Process control engineers, including those in managerial roles like Statistical Process Control managers, typically earn between $70,000 and $120,000 annually, depending on experience, industry, and location. Senior positions or those with specialized skills in automation, data analysis, and quality management can earn higher salaries, often exceeding $130,000.
What are the most commonly searched types of Statistical Process Control jobs in North Carolina? The most popular types of Statistical Process Control jobs in North Carolina are:
What cities in North Carolina are hiring for Manager Statistical Process Control jobs? Cities in North Carolina with the most Manager Statistical Process Control job openings:

Manufacturing Process Engineer

Raya Workforce

Browns Summit, NC • On-site

$66K - $88K/yr

Full-time

Posted 26 days ago


Job description

Job Title: Industrial Manufacturing Engineer
Location: Browns Summit, NC (On-site)
Employment Type: Full-Time
Compensation: DOE


About the Role

We are seeking a hands-on Industrial Manufacturing Engineer to support and improve operations within a high-precision, regulated manufacturing environment. This role is focused on optimizing production processes, improving throughput, and ensuring consistent quality and safety standards.

The organization operates in a specialized manufacturing setting that requires strong attention to detail, compliance, and precision-driven production. This position will work closely with production, maintenance, and leadership teams to identify operational challenges, implement improvements, and drive continuous improvement initiatives across the facility.


Key Responsibilities
  • Analyze and improve production workflows to increase efficiency, reduce waste, and optimize throughput
  • Apply Lean Manufacturing, Six Sigma, and Theory of Constraints (TOC) methodologies to enhance operational performance
  • Identify bottlenecks in production and implement effective, data-driven solutions
  • Design and optimize workstations with a focus on ergonomics, safety, and operator productivity
  • Develop and maintain technical documentation including process flows, layouts, and system designs
  • Lead engineering projects from concept through implementation, including planning, execution, and tracking
  • Support quality initiatives using tools such as Statistical Process Control (SPC), root cause analysis, and continuous improvement methods
  • Collaborate with cross-functional teams including production, maintenance, and leadership to ensure alignment and execution
  • Conduct cost and efficiency analysis, including “make vs. buy” evaluations for equipment and processes
  • Ensure compliance with safety standards and support OSHA-related programs including Job Safety Analysis (JSA)

Key Qualifications
  • Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, or a related field
  • 3+ years of hands-on experience in a manufacturing or production environment
  • Strong understanding of Lean Manufacturing and/or Six Sigma principles
  • Proven experience in process improvement, workflow optimization, and production support
  • Proficiency in AutoCAD or similar tools for layouts and system design
  • Familiarity with quality systems such as ISO 9001 and Statistical Process Control (SPC)
  • Strong analytical and problem-solving skills with the ability to troubleshoot real-time production issues
  • Ability to work in a fast-paced, hands-on environment with cross-functional teams
  • Excellent communication skills with the ability to present technical information clearly