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Process Engineer II

McCormick & Company

SPRINGFIELD, MOSeniorH-1B sponsor company
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Location
SPRINGFIELD, MO
Work model
On-Site
Level
Senior
H-1B history
2 approvals (FY2023)

About this role

The French's Food Company , a subsidiary of McCormick & Company, Inc. and a global leader in flavor is seeking a full-time  Process Engineer for the plant located in  Springfield, MO . This person will report to the Continious Improvement Department Manager.   With more than $500 million in annual sales, our company has been crafting trusted foods using simple ingredients of the highest quality.  From French's Classic Yellow Mustard, long America's top-selling mustard, to its most recent innovations, such as Franks Red Hot, the company has a history rich with delicious creations made from what today would be considered “clean, simple ingredients.”  To learn more please visit us at  www.frenchs.com .     POSITION SUMMARY Reporting to the Continuous Improvement Manager, the Process Engineer II will be responsible for providing leadership, direction, and functional expertise to the Plant for loss analysis, analytics, and training systems.  This position supports the Plant Leadership Team in the JTE (Journey to Excellence) strategy focused on building Employee capability, enhancing the data reliability systems, and driving Employee engagement through implementation of high-performance work systems to achieve exceptional business results.   RESPONSIBILITIES

Creating visibility to Loss Data

Owning Loss Analysis program to support site’s OGSM (Objective, Goals, Strategies, and Measures) 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

Leading site Data and Analytics

Maintaining integrity of site data through training, health checks, and change control. Focus includes scorecards, downtime data base, manual tracking systems and ERP (Enterprise Resource Planning) master data. Providing analysis and insights to key performance metrics like Process Reliability, Productivity, Yield and Scrap. Collating and publishing site scorecard every month. Creating and executing site Analytics strategy. Establishing scorecard review processes based on the appropriate frequency and participants. Driving data-based decision-making behavior at all levels

Implement Effective Training systems

Coach site employees and Subject Matter Experts 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

REQUIRED QUALIFICATIONS

Minimum of 5 years working in manufacturing operations Background in Total Productive Maintenance / Lean, Change Management and Organizational Effectiveness 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. Ability to create people change plan for strategic initiatives. Ability to be an influencer of large or high-risk change initiatives. Create intra-plant collaboration (operations, functional areas, support areas) Ability to provide key insights to leadership in order to influence priority development Ability to develop action plans, obtain or assign resources, and align day-to-day processes to achieve strategic goals. Ability to analyze data to gather actionable insights. Ability to achieve project goals and objectives by applying the discipline of planning, organizing, and managing resources to bring about successful project completion. Understand key financial topics, including: Budgeting, Cost Center Ownership, CAAP (Capital Asset Acquisition Proposal), IRR (Internal Rate of Return),