Sr. Manager of Industrial Engineering

As an Industrial Engineering Manager for Skyworks Solutions Inc. fabrication (FAB) facility located in Newbury Park California, you will play a vital role in the company's strategy optimizing capacity, engineering and production processes, improving efficiency, and ensuring the smooth operation of the facility. You will lead a team of engineers driving change, implementing new processes and best practices by collaborating with various departments.

• Analyze demand forecasts, production data, performance metrics, and operational parameters to identify trends, bottlenecks, and areas for improvement. Make data-driven decisions to optimize yield, cycle time, and overall fab performance.
• Aid in the development and maintenance of manufacturing capacity models, smart manufacturing transformation strategy and recommend solutions and resources needed to execute and deliver on those strategies.
• Collaborate closely with cross-functional & Global teams, including production, maintenance, quality, and supply chain, to ensure alignment and coordination of activities. Foster effective communication channels and build strong working relationships.
• Work closely with finance & procurement departments to manage the capital expenditure process. This includes the development of investment proposals, evaluating the ROI of projects, tracking project costs & ensuring adherence to budgetary constraints
• Foster a culture of continuous improvement by promoting lean manufacturing principles, driving waste reduction initiatives, and implementing best practices across the fab. Encourage employee involvement and engagement in process improvement activities.
• Identify opportunities for process improvement, evaluate existing workflows, and develop strategies to enhance OEE, reduce costs, and increase throughput
• Plan, coordinate, and oversee engineering projects, ensuring timely completion and adherence to quality standards. This includes defining project scopes, setting objectives, allocating resources, and managing project timelines.
• Implement and oversee the automation of models, such as production cycle time forecasting, capacity planning, and optimization algorithms. Leverage advanced data analytics and machine learning techniques to improve decision-making and operational efficiency. Develop and implement efficient data collection techniques to gather accurate and relevant operational data.
• Collaborate with cross-functional teams to design and optimize the layout of equipment, workstations, and production lines. Ensure efficient utilization of space and resources while maintaining a safe working environment.
• Serves as the technical guide on specialized projects or programs; acts as advisor to management and/or customers on topics related to Industrial Engineering and Continuous improvement.
• Develop and maintain comprehensive documentation of manufacturing processes, standard operating procedures (SOPs), and work instructions. Ensure consistent implementation and adherence to established procedures.
• Lead, coach & mentor a high-performing team. Set performance expectations, conduct regular performance evaluations, and identify training needs to enhance the skills and knowledge of team members.
• University partnership & building a solid internship program to grow our future talent pipeline.

• Bachelor's or Master's degree in Industrial Engineering, Manufacturing Engineering or a related field. A solid technical foundation in semiconductor manufacturing processes is highly desirable.
• 8 years' experience in operations, supply chain, manufacturing or industrial engineering roles within the semiconductor industry. Prior experience in a managerial or leadership position is preferred.
• In-depth knowledge of semiconductor manufacturing processes, equipment, and cleanroom protocols. Proficiency in data analysis and statistical tools. Familiarity with process simulation software, optimization tools and manufacturing execution systems (MES).
• Proven track record in successfully managing complex engineering projects from initiation to completion. Strong organizational skills, attention to detail, and the ability to prioritize tasks effectively.
• Demonstrated leadership skills with the ability to influence, motivate and inspire a team. Excellent communication and interpersonal skills to collaborate with cross-functional teams and present ideas and solutions to stakeholders at various levels.
• Strong problem-solving abilities with a data-driven mindset. Ability to analyze complex situations, identify root causes, and propose innovative solutions.
• Proactive approach towards driving continuous improvement initiatives. Knowledge of lean manufacturing principles, Six Sigma methodologies, and other process improvement frameworks.
• Knowledge of smart manufacturing principles, methodologies, and emerging technologies.
• Ability to work in a fast-paced, dynamic environment with changing priorities and tight deadlines. Resilience to handle challenges and adapt to new technologies and processes.

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