Performance Manager Midrand, South Africa This position is responsible for providing leadership, direction, and functional expertise to the Plant for loss analysis, analytics, and training systems. The role supports the Plant Leadership Team in the JTE (Journey to Excellence) strategy focused on building Employee capability, providing data reliability systems, and driving Employee engagement through the implementation of high-performance work systems to achieve exceptional business results. MAIN RESPONSIBILITIES Create visibility to Loss Data Lead annual Loss Analysis to support site's OGSM and budget targets. Help prioritize loss reduction projects in collaboration with the site leadership team. Provide supporting data analysis and justifications for any technology improvements and capital expenditures and feasibility studies. Lead site Focused Improvement pillar. Lead site Data and Analytics Maintain integrity of site data through training, health checks, and change control. Focus includes scorecards, downtime database, manual tracking systems, and SAP master data. Provide analysis and insights to key performance metrics like Process Reliability, Productivity, Yield, and Scrap. Collate and publish site scorecard every month. Create and execute site Analytics strategy. Establish scorecard review processes based on the appropriate frequency and participants. Drive data-based decision-making behavior at all levels. Implement Effective Training systems Coach site employees and SMEs on the methodology and tools: Basic performance data and trends. Problem solving. Root cause analysis. Loss Reduction projects. Participate on Training and Development Pillar. Create and maintain site training systems. CANDIDATE PROFILE Bachelor's Degree in Engineering or a related discipline is required. Minimum of 5 years working in manufacturing operations. Background in Total Productive Maintenance / Lean, Change Management, and Organizational Effectiveness. Experience in a CPG preferred. Team and Operations Leadership experience preferred. Familiarity with creating reports using current (and future) BI tools, e.g., SAP Hana, Tableau. Experience analyzing complex datasets, generating insights, and building robust statistical models. Should be comfortable working with structured and unstructured data. Ability to analyze complex information in order to make judgments and decisions. Data intensive - thrives in detail with purpose - does not get paralyzed by analysis.
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