Performance Manager leading Continuous Improvement initiatives at McCormick’s Hunt Valley Plant. Focusing on leadership, analytics, and driving employee engagement for operational excellence.
Responsibilities
Implement and Coach effective JTE systems.
Coach direct reports and site employees and SMEs on methodology and tools: Basic performance data and trends, Problem Solving, Root Cause Analysis, Loss Reduction Projects, Autonomous Maintenance
Lead and develop capability of Continuous Improvement team
Translate strategy into actionable information in a small group in a clear, concise, and professional manner.
Demonstrate effective Communication and direction setting to direct reports, plant leadership and Regional leaders on JTE progress
Engage in the design and implementation of the site systems, utilize team to drive improvement of systems
Maintaining integrity of site data through training, health checks, and change control.
Providing analysis and insights to key performance metrics like Process Reliability, Productivity, Yield and Scrap.
Creating and executing site Analytics strategy.
Establishing scorecard and KPI review processes based on the appropriate frequency and participants.
Driving data-based decision-making behavior at all levels
Owning Loss Analysis program to support site’s OGSM and budget targets
Helping prioritize loss reduction projects in collaboration with the site leadership team
Providing supporting data analysis and justifications for any technology improvements and capital expenditures and feasibility studies
Leading site Focused Improvement pillar
Requirements
Bachelor’s Degree in Engineering or a related discipline is required
Minimum of 3 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 our 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.
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