Production Manager

Description

Job Summary: This position focuses on analyzing, optimizing, and controlling productivity in production lines through intensive data usage, ensuring operational efficiency and optimal personnel allocation. Key Highlights: 1. Data-intensive productivity analysis, optimization, and control 2. Waste management and personnel sizing for efficiency 3. Continuous improvement, data analysis, and process optimization Production Manager in Zaragoza The role centers on analyzing, optimizing, and controlling productivity in production lines using intensive data applications. The primary objective is to ensure operational efficiency, including detailed waste monitoring—with particular attention to Category 3 waste\. Appropriately sizing human resources is also critical, ensuring optimal personnel allocation across production processes to maintain competitiveness and profitability of operations. Responsibilities include productivity monitoring and analysis, data handling, waste management, personnel sizing, and implementation of continuous improvements. A degree in Industrial Engineering, Industrial Organization, or a related field is required, along with prior experience in production or industrial environments and in data analysis applied to operations. Experience in productivity control and continuous improvement is especially valued. Required technical competencies include advanced proficiency in data analysis using Business Intelligence tools, knowledge of industrial KPIs and productivity metrics, experience in resource sizing and line balancing, and expertise in process optimization. Desired personal competencies include an analytical, data-driven profile; ability to make decisions based on objective information; results- and continuous-improvement orientation; capability to identify inefficiencies; proactivity; technical leadership; and problem-solving skills. Familiarity with Lean Manufacturing or Six Sigma, as well as adaptability to dynamic and demanding environments, is advantageous. Education: Degree in Industrial Engineering, Industrial Organization, or equivalent. Experience in production or industrial environments. Prior experience in data analysis applied to operations. Experience in productivity control and continuous improvement is desirable. Technical competencies: Advanced proficiency in data analysis using BI tools, knowledge of industrial KPIs and productivity metrics, experience in resource sizing and line balancing, expertise in process optimization. Personal competencies: Analytical and data-oriented profile, ability to make decisions based on objective information, results- and continuous-improvement orientation, capability to identify inefficiencies, proactivity, technical leadership capability, problem-solving focus. Knowledge of Lean Manufacturing or Six Sigma and ability to work in dynamic environments are valued.