Statistical Process Control (SPC) Program Leader

Qnity; Circleville (OH); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Qnity Electronics seeks a Program Manager, SPC Leader, to steer process control and analytics across multiple manufacturing sites in the U.S. and abroad.

You will champion standardized SPC/PCS frameworks, partner with Operations, Quality, Engineering, and IT to reduce variation and accelerate data-driven decisions. The role requires 7–10 years of manufacturing SPC experience, strong statistical knowledge, and proficiency with JMP/Python/R.

Qualifications

• Bachelor's degree in Engineering, Statistics or a related technical discipline; advanced degree preferred.
• Minimum of 7-10 years of manufacturing experience with SPC/PCS and digital manufacturing solutions.
• Experience selecting, deploying, and integrating manufacturing information systems (SPC software, data historians, LIMS).
• Strong knowledge of statistical methods, DOE, MSA/GRR, FMEA, Six Sigma, and process control systems.
• Ability to lead enterprise-wide initiatives across multiple sites and functions.
• Proficiency with JMP, Python, R, Minitab or equivalent tools.
• Willingness to travel domestically and internationally.

Responsibilities

• Develop and execute the enterprise SPC/PCS strategy across all AFT sites.
• Lead evaluation, selection, implementation, and governance of SPC software and analytics platforms.
• Establish standardized process control systems and performance metrics globally.
• Assess SPC/PCS effectiveness and realign priorities with leadership.
• Conduct site assessments and audits for compliance with standards.
• Coach and mentor operators, engineers, and site leaders.
• Analyze data to identify trends, variation sources, and CAPA opportunities.
• Lead cross-functional investigations on process instability and yield loss.
• Develop KPI dashboards and automated alerts for better decision making.
• Drive continuous improvement using SPC, FMEA, DOE, MSA/GRR, Six Sigma.

Skills

Statistical methods

Project management

Change leadership

Cross-functional collaboration

Data analysis

Education

Bachelor's degree in Engineering or Statistics

Advanced degree preferred

Tools

JMP

Python

R

Minitab

LIMS

Analytics platforms

Job description

Are you looking to power the next leap in the exciting world of advanced electronics? Do you want to help solve problems that drive success in the rapidly evolving technology and connectivity landscape? Then bring your problem-solving, passion, and creativity to help us power the next leap in electronics.

At Qnity, we’re more than a global leader in materials and solutions for advanced electronics and high-tech industries – we’re a tight-knit team that is motivated by new possibilities, and always up for a challenge. All our dedicated teams contribute to making cutting-edge technology possible. We value forward-thinking challengers, boundary-pushers, and diverse perspectives across all our departments, because we know we play a critical role in the world enabling faster progress for all. Learn how you can start or jumpstart your career with us.

Program Manager - Statistical Process Control (SPC) Leader

Position Summary

Qnity Electronics is seeking a Program Manager, Statistical Process Control (SPC), to provide strategic leadership for process control, manufacturing analytics, and digital quality transformation across the Advanced Flex Technologies (AFT) business. This role will lead the development and deployment of a standardized SPC and Process Control Systems (PCS) framework across manufacturing sites in Ohio, Pennsylvania, Texas, and Taiwan. The successful candidate will partner closely with Operations, Quality, Engineering, and Information Technology teams to reduce process variation, improve yield performance, and accelerate data-driven decision making through advanced analytics and digital manufacturing solutions.

• Develop and execute the enterprise SPC/PCS strategy to drive process capability improvement, variation reduction, and manufacturing excellence across all AFT sites.
• Lead the evaluation, selection, implementation, and governance of SPC software, process data historians, analytics platforms, and other digital manufacturing technologies.
• Establish standardized process control systems, procedures, and performance metrics across global manufacturing operations.
• Periodically assess SPC/PCS effectiveness and align roadmap priorities with business and functional leadership objectives.
• Conduct site assessments and audits to ensure compliance with established process control standards and procedures.
• Build organizational capability through training, coaching, and mentoring of operators, engineers, quality professionals, and site leaders.
• Analyze process performance data to identify trends, sources of variation, and opportunities for corrective and preventive action.
• Lead cross-functional investigations and problem-solving activities related to process instability, yield loss, and product quality concerns.
• Develop KPI dashboards, statistical monitoring systems, and automated alerts to improve process visibility and decision making.
• Drive continuous improvement initiatives utilizing SPC, Control Plans, FMEA, Six Sigma methodologies, DOE, MSA/GRR, and other statistical tools.
• Serve as the global subject matter expert for statistical methods, process control strategy, measurement systems, and manufacturing analytics.
• Support customer, regulatory, and third-party quality audits while ensuring compliance with ISO 9001, IATF 16949, and other applicable standards.

Qualifications

• Bachelor's degree in Engineering, Statistics or a related technical discipline; advanced degree preferred.
• Minimum of 7-10 years of manufacturing experience with demonstrated success implementing SPC, PCS, and digital manufacturing solutions in a production environment.
• Proven experience selecting, deploying, and integrating manufacturing information systems, including SPC software, data historians, LIMS, and analytics platforms.
• Strong knowledge of statistical methods, process capability analysis, DOE, MSA/GRR, FMEA, Six Sigma, and process control systems.
• Demonstrated ability to lead enterprise-wide initiatives through influence across multiple manufacturing sites and functional organizations.
• High level of proficiency with statistical and analytical tools such as JMP, Python, R, Minitab, or equivalent platforms.
• Excellent communication, project management, and change leadership skills.
• Ability to travel domestically and internationally as required.

Export Control Requirement: Due to U.S. export control regulations, candidates must be U.S. citizens or U.S. lawful permanent residents (Green Card holders).

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