Deskripsi Pekerjaan
Join our dynamic team as a Manufacturing Operations Manager and lead the transformation of production processes in a fast-paced manufacturing environment. This pivotal role requires strategic oversight of manufacturing engineering operations to ensure timely, high-quality product delivery while optimizing efficiency and cost-effectiveness. You will spearhead cross-functional collaboration between production, quality control, and supply chain teams, driving continuous improvement initiatives and implementing lean manufacturing principles. The position demands a proactive approach to problem-solving, with a focus on enhancing productivity, reducing waste, and maintaining rigorous safety standards. Ideal candidates will bring a proven track record in managing complex manufacturing operations and a passion for driving operational excellence in a competitive industry.
Tanggung Jawab
- Oversee end-to-end manufacturing operations to ensure on-time delivery of products
- Lead and mentor engineering teams to optimize production processes
- Implement continuous improvement initiatives using lean methodologies
- Coordinate with supply chain and quality control departments for seamless operations
- Monitor KPIs including production efficiency, quality metrics, and cost management
- Ensure compliance with safety regulations and industry standards
- Develop and maintain robust production schedules and resource allocation plans
- Drive innovation in manufacturing technologies and process automation
Kualifikasi
- Bachelor's degree in Engineering, Operations Management, or related field
- Minimum 5 years of experience in manufacturing operations management
- Proven track record in leading engineering teams and production processes
- Strong knowledge of lean manufacturing and continuous improvement methodologies
- Experience with ERP systems and manufacturing software
- Excellent problem-solving and decision-making abilities
- Strong leadership skills with experience in cross-functional team management
- Proficiency in analyzing production data and implementing process improvements