2 Principal Industrial Process Optimization Engineer Remote jobs in whatjobs
Principal Industrial Process Optimization Engineer (Remote)
Posted 10 days ago
Job Viewed
Job Description
Our client, a globally recognized leader in industrial innovation, is seeking a highly experienced and strategic Principal Industrial Process Optimization Engineer to drive significant improvements across their diverse operational landscape. This is a fully remote position, offering a unique opportunity to leverage your expertise in optimizing industrial processes from anywhere in the world. You will be responsible for leading the analysis, design, and implementation of cutting-edge process improvements that enhance efficiency, reduce costs, improve safety, and ensure product quality. Your role will involve utilizing advanced methodologies such as Lean Six Sigma, Theory of Constraints, and data-driven modeling to identify bottlenecks, streamline workflows, and implement sustainable solutions. The ideal candidate possesses a deep understanding of industrial engineering principles, advanced statistical analysis, simulation software, and automation technologies. You will work closely with cross-functional teams, including operations, R&D, and quality assurance, fostering collaboration through sophisticated remote communication and project management platforms. This position requires exceptional analytical and problem-solving skills, strong leadership capabilities, and the ability to influence stakeholders at all levels. This is a career-defining opportunity for a seasoned engineer to make a substantial impact on global industrial operations while enjoying the flexibility of a remote work arrangement.
Key Responsibilities:
Key Responsibilities:
- Lead the comprehensive analysis and redesign of industrial processes to maximize efficiency and minimize waste.
- Apply advanced Lean Six Sigma methodologies to identify root causes of inefficiencies and implement corrective actions.
- Develop and implement strategies for process automation and integration of advanced manufacturing technologies.
- Utilize simulation and modeling software to test and optimize process designs before implementation.
- Oversee the implementation of new processes and provide technical support to operational teams.
- Establish and monitor key performance indicators (KPIs) for process performance and continuous improvement.
- Collaborate with R&D, engineering, and operations departments to drive innovation in process design.
- Ensure all process designs comply with safety, environmental, and quality regulations.
- Mentor and guide junior engineers and technical staff.
- Present findings, recommendations, and project progress to senior management.
- Stay abreast of industry best practices, emerging technologies, and regulatory changes.
- Master's degree or Ph.D. in Industrial Engineering, Mechanical Engineering, Chemical Engineering, or a related discipline.
- Minimum of 10 years of progressive experience in industrial process engineering and optimization.
- Proven expertise in Lean Manufacturing, Six Sigma (Black Belt or Master Black Belt preferred), and other continuous improvement methodologies.
- Strong proficiency in process simulation software (e.g., Arena, AnyLogic) and statistical analysis tools (e.g., Minitab, R).
- Experience with automation, robotics, and Industrial Internet of Things (IIoT) is highly desirable.
- Exceptional analytical, problem-solving, and critical thinking skills.
- Demonstrated leadership and project management capabilities.
- Excellent communication and interpersonal skills, with the ability to influence stakeholders remotely.
- Experience working effectively in a remote or distributed team environment.
This advertiser has chosen not to accept applicants from your region.
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Principal Industrial Process Optimization Engineer - Remote
Posted 1 day ago
Job Viewed
Job Description
Our client, a leading global provider of industrial solutions, is seeking a Principal Industrial Process Optimization Engineer for a fully remote position. This senior role is dedicated to enhancing the efficiency, productivity, and cost-effectiveness of industrial operations across various sectors. You will analyze complex manufacturing and production processes, identify areas for improvement, and design and implement data-driven strategies to optimize workflows, reduce waste, and improve quality. The position requires a profound understanding of industrial engineering principles, statistical analysis, and process simulation.
As a Principal Engineer, you will lead significant optimization projects, applying methodologies such as Lean Manufacturing, Six Sigma, and Theory of Constraints. You will be responsible for developing and implementing advanced analytics, using data from various sources (IoT sensors, SCADA systems, ERP) to gain insights into process performance. Your role will involve close collaboration with operations managers, engineers, and on-site teams to ensure successful implementation and sustainability of improvements. The ability to translate complex data into actionable recommendations and communicate them effectively to stakeholders is paramount. Proficiency in process simulation software and data analysis tools is essential.
We are looking for a highly analytical and strategic thinker with a proven track record of driving substantial improvements in industrial settings. You must be adept at problem-solving, possess strong leadership capabilities, and be able to work independently and manage cross-functional teams in a remote environment. A Bachelor's or Master's degree in Industrial Engineering, Operations Management, or a related discipline, combined with a minimum of 8 years of progressive experience in process optimization and industrial engineering, is required. Experience in industries such as automotive, CPG, or heavy manufacturing is a plus. This role is based entirely remotely, serving our client's operational needs that connect to **Machakos, Machakos, KE**.
Key Responsibilities:
As a Principal Engineer, you will lead significant optimization projects, applying methodologies such as Lean Manufacturing, Six Sigma, and Theory of Constraints. You will be responsible for developing and implementing advanced analytics, using data from various sources (IoT sensors, SCADA systems, ERP) to gain insights into process performance. Your role will involve close collaboration with operations managers, engineers, and on-site teams to ensure successful implementation and sustainability of improvements. The ability to translate complex data into actionable recommendations and communicate them effectively to stakeholders is paramount. Proficiency in process simulation software and data analysis tools is essential.
We are looking for a highly analytical and strategic thinker with a proven track record of driving substantial improvements in industrial settings. You must be adept at problem-solving, possess strong leadership capabilities, and be able to work independently and manage cross-functional teams in a remote environment. A Bachelor's or Master's degree in Industrial Engineering, Operations Management, or a related discipline, combined with a minimum of 8 years of progressive experience in process optimization and industrial engineering, is required. Experience in industries such as automotive, CPG, or heavy manufacturing is a plus. This role is based entirely remotely, serving our client's operational needs that connect to **Machakos, Machakos, KE**.
Key Responsibilities:
- Lead the design and implementation of industrial process optimization strategies.
- Analyze manufacturing and production data to identify inefficiencies and root causes.
- Apply Lean, Six Sigma, and other continuous improvement methodologies.
- Develop and deploy advanced analytical models for process improvement.
- Oversee projects related to workflow automation and operational efficiency.
- Collaborate with cross-functional teams to implement process changes.
- Develop KPIs and performance dashboards to monitor progress.
- Provide technical leadership and mentorship to engineering teams.
- Prepare detailed reports and presentations on optimization initiatives.
- Bachelor's or Master's degree in Industrial Engineering, Operations Management, or a related field.
- Minimum of 8 years of experience in industrial process optimization and engineering.
- Expertise in Lean Manufacturing, Six Sigma (Green/Black Belt preferred), and other CI methodologies.
- Strong analytical and statistical modeling skills.
- Proficiency in data analysis software (e.g., Minitab, JMP) and process simulation tools.
- Excellent leadership, communication, and project management skills.
- Ability to work independently and manage complex remote projects.
- Proven track record of delivering significant operational improvements.
This advertiser has chosen not to accept applicants from your region.
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