Remote Manufacturing Process Optimization Specialist

Placements24; East London; Hybrid; ZAR 1,494,000 - 2,324,000; Full time

Benefits offered by this job

Competitive salary and comprehensive

Health and retirement benefits

Performance-based incentives

Paid time off

Professional development and online培训

Fully remote work structure

Job summary

Placements24 is seeking a Remote Manufacturing Process Optimization Specialist. The role focuses on analyzing client manufacturing workflows, identifying inefficiencies, and delivering data-driven strategies to enhance productivity and quality across operations.

You will work remotely with diverse client teams, applying Lean and Six Sigma methodologies to implement improvements and monitor results. Ideally you have 5+ years in manufacturing process optimization, strong data analysis skills

Qualifications

• Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Operations Management, or a related field.
• Minimum of 5 years of experience in manufacturing process improvement, optimization, or industrial engineering consulting.
• Proficiency in Lean Manufacturing, Six Sigma (Green Belt or Black Belt preferred), and other continuous improvement methodologies.

Responsibilities

• Conduct remote analysis of client manufacturing processes, value streams, and operational data.
• Identify bottlenecks, waste, and opportunities for improvement in production, material flow, and overall efficiency.
• Develop data-driven strategies and actionable plans for process optimization, including lean implementation and workflow redesign.
• Collaborate with on-site client teams to understand operational challenges and implement recommended solutions.
• Utilize statistical analysis and process modeling tools to evaluate performance and predict outcomes.
• Create detailed reports and presentations to communicate findings, recommendations, and progress to clients and internal management.
• Support the implementation of process changes, providing guidance and monitoring results.
• Stay current with best practices and emerging technologies in manufacturing optimization and industrial engineering.
• Ensure recommendations align with client business objectives, quality standards, and safety regulations.
• Contribute to knowledge sharing and best practice development within the optimization team.

Skills

Lean Six Sigma

Data analysis

Process mapping

Remote work management

Education

Bachelor's degree in Industrial Engineering/Engineering-related field

Tools

Minitab

JMP

Job description

About the Role Our client, a global leader in specialized manufacturing solutions, is seeking a proactive and analytical Remote Manufacturing Process Optimization Specialist. This position is entirely remote, allowing you to contribute your expertise from anywhere. You will be tasked with analyzing manufacturing workflows, identifying inefficiencies, and developing strategic recommendations to enhance productivity, reduce costs, and improve product quality across client operations. Your role will involve leveraging industrial engineering principles, data analysis, and lean methodologies to drive significant improvements. The ideal candidate is a self-starter with a deep understanding of manufacturing processes and a proven track record in optimization projects. This is a unique opportunity to impact manufacturing operations worldwide while enjoying the benefits of a remote-first work environment.

Key Responsibilities

• Conduct remote analysis of client manufacturing processes, value streams, and operational data.
• Identify bottlenecks, waste, and opportunities for improvement in production, material flow, and overall efficiency.
• Develop data-driven strategies and actionable plans for process optimization, including lean implementation and workflow redesign.
• Collaborate with on-site client teams to understand operational challenges and implement recommended solutions.
• Utilize statistical analysis and process modeling tools to evaluate performance and predict outcomes.
• Create detailed reports and presentations to communicate findings, recommendations, and progress to clients and internal management.
• Support the implementation of process changes, providing guidance and monitoring results.
• Stay current with best practices and emerging technologies in manufacturing optimization and industrial engineering.
• Ensure recommendations align with client business objectives, quality standards, and safety regulations.
• Contribute to knowledge sharing and best practice development within the optimization team.

Requirements

• Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Operations Management, or a related field.
• Minimum of 5 years of experience in manufacturing process improvement, optimization, or industrial engineering consulting.
• Strong knowledge and practical application of Lean Manufacturing, Six Sigma (Green Belt or Black Belt preferred), and other continuous improvement methodologies.
• Proficiency in data analysis and interpretation, with experience in statistical software (e.g., Minitab, JMP) and process mapping tools.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to clearly articulate complex concepts and recommendations.
• Proven ability to work effectively independently and manage multiple projects in a remote setting.
• Experience in manufacturing environments across different industries is a plus.
• Familiarity with various manufacturing technologies and equipment.
• Must be adaptable and capable of working with diverse client teams and cultures remotely.

Benefits

Our client offers a competitive salary, comprehensive health and retirement benefits, performance-based incentives, generous paid time off, opportunities for professional development and online certifications, and the significant advantage of a fully remote work structure. You will have the opportunity to work on diverse and challenging projects for leading manufacturing clients, gaining exposure to a wide range of operational environments and contributing to substantial efficiency gains, all within a flexible, remote setting.