We are seeking a highly skilled and experienced Senior Process Engineer to join our Apparel Embellishment team. In this role, you will be responsible for driving process improvement initiatives to enhance product quality and optimize production efficiency across our manufacturing facilities in both Made to Order and Screen-Printing Operations. You will leverage your expertise to analyze current production processes, identify bottlenecks, and develop innovative solutions that align with industry best practices. Your strong analytical skills and deep understanding of engineering principles will enable you to collaborate effectively with cross-functional teams to implement changes and monitor their impact. The Senior Process Engineer will also play a role in ensuring that our operations meets regulatory and safety standards. Furthermore, you will act as a mentor to junior engineers, fostering a culture of continuous improvement and operational excellence. This is an exciting opportunity to contribute to the success of our organization by leading significant projects that will shape the future of our production capabilities. If you are a passionate engineer looking to make a meaningful impact in the Apparel Embellishment industry, we invite you to apply for this strategic role.

Responsibilities

• Process Optimization Across Facilities: Lead efforts to develop best practices and optimize manufacturing processes across multiple buildings and production sites. Focus on increasing productivity, streamlining workflows, and reducing waste while improving quality.

• Lead Time Reduction Across the Network: Analyze and standardize workflows to reduce lead times across facilities. Work closely with local operations teams to identify bottlenecks and implement scalable solutions that improve speed and flexibility in production.

• Quality Management and Standardization: Ensure processes across all sites meet rigorous quality standards. Implement standardized processes and quality control systems to ensure consistency and reduce variability. Lead cross-facility initiatives to improve product quality and resolve any quality issues.

• Cross-Site Data Analytics: Utilize data analytics to monitor process performance across the network of facilities. Develop and track KPIs for each site and generate insights to guide decision-making for improvements across the entire network.

• Collaboration with Operations Leadership: Work closely with operations leadership at each location to understand unique challenges and opportunities. Build strong partnerships to ensure alignment on improvement initiatives, share best practices, and drive consistency in results across the network.

• Lean and Continuous Improvement Initiatives: Drive the application of lean manufacturing principles, Six Sigma, and other continuous improvement methodologies across multiple sites to eliminate waste, improve efficiency, and foster a culture of operational excellence.

• Technology and Automation Integration: Evaluate and implement new technologies, automation solutions, and process improvements that can be standardized and scaled across the facilities to drive efficiency gains, reduce manual processes, and improve product quality.

• Training and Development: Provide training and mentoring to both engineering teams and operations personnel on process improvements, best practices, and continuous improvement methodologies. Foster a culture of learning and development across the network.

• Documentation and Reporting: Develop and standardize process documentation, SOPs, and best practice guides across all sites. Provide regular status updates and performance reports to senior leadership, highlighting KPI’s, key achievements and areas for further improvement.

Requirements

• Bachelor’s or master’s degree in Mechanical Engineering, Industrial Engineering, or related field.

• Minimum of 5-7 years in process engineering with a track record of transformational change in manufacturing operations.

• Strong analytical skills with experience using data analysis tools (e.g., Excel, Minitab, Power BI) to monitor performance and drive process improvements.

• Expertise in lean manufacturing, Six Sigma, or similar continuous improvement methodologies.

• Excellent problem-solving skills with a keen attention to detail.

• Strong project management skills, including managing multiple projects and meeting deadlines.

• Effective communication skills, both verbal and written, to interact with diverse teams and stakeholders.

Preferred:

• Experience in apparel embellishment or textile printing industries.

• Experience with deploying automation, machine learning, and AI

• Certification in Lean Six Sigma (Green Belt, Black Belt) or equivalent.

• Familiarity with ERP and manufacturing software systems.