Performance Manager at McCormick & Company

MAIN RESPONSIBILITIES  #LI-DNI

Create visibility to Loss Data

• Lead annual Loss Analysis to support site’s OGSM (Objectives, Goals, Strategies, and Measures) 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 data base, 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 in FMCG company (preferably in food industry)
• Background in Total Productive Maintenance / Lean, Change Management and Organizational Effectiveness
• Experience in a CPG (Consumer Packaged Goods) preferred
• Team and Operations Leadership experience preferred
• Proficiency in Excel and Power BI
• Familiarity with creating reports using our current (and future) BI tools, e.g. SAP Hana, Tableau
• Experience analysing complex datasets, generating insights and building robust statistical models (comfortable working with structured and unstructured data)
• Ability to analyse complex information to make judgments and decisions