Process Engineer

Description

Are You Ready to Make It Happen at Mondelēz International?

Join our Mission to Lead the Future of Snacking. Make It Uniquely Yours.

You play an important role in the department, maintaining systems and performing tasks and activities that support our continuous improvement (CI) processes and culture. You help with data collection, ensure its accuracy, promote CI progress and keep track of the department KPI scorecards.

You will:

• Provide training on CI tools and techniques. You will also help departments follow our established daily management system (DMS)
• Help teams collect data or extract it from the system to support CI activities and the DMS
• Facilitate root‑cause analysis to address identified losses and departmental KPI scorecard gaps
• Establish new work standards to sustain improvement
• Train and qualify colleagues on CI tools and new work standards resulting from CI activities

A desire to drive your future and accelerate your career and the following experience and knowledge:

• CI and high-performance work systems experience
• Strong facilitation and communication skills to support team discussions on CI activities
• Application of lean and/or TPM tools in a factory or operations environment
• Ability to manipulate and validate data in manual and automated systems
• Mastery of Excel and other data analytics tools
• Organized and disciplined to support and educate on the DMS process
• Logical and structured thinking to extract insights from data

The Process Engineer is responsible for optimizing manufacturing processes to maximize performance, eliminate losses, improve capability, and ensure process stability through Identification, Erradication & Prevention FI SWP. The Process Engineer acts as a technical problem solver, data‑driven analyst, and change agent to ensure sustainable process performance and capability building at front line.

• Identity and understanding sporadic losses within front line leaders.
• Accountable for chronic losses identification through weekly, monthly and quarterly exercise
• Analyze production and quality data trends. Accountable for data collection at line level.
• Quantify financial impact of improvements. (Glide paths construction)

• Drive and teach structured basic problem‑solving for sporadic losses.
• Accountable for structured advance problem‑solving for chronical losses.
• Lead, train and collaborate in Focused Improvement initiatives for productivity commitments
• Support breakdown analysis with technical expertise PM
• Analyze and improve process capability (Cp, Cpk) reducing variability thru control process.
• Optimize cycle times and throughput. (SMED, Tput management)

• Standardize best operating conditions thru develop Standard Operating Procedures (SOPs).
• Implement visual management and control plans.
• Ensure sustainment through audits and governance.

• Partner with Autonomous Maintenance (AM) to define process control points.
• Support Planned Maintenance (PM) with technical input.
• Lead Quality Maintenance (QM) initiatives to prevent defects.
• Contribute to Early Equipment Management (EEM) for new installations and new products/ingredients
• Train operators and supervisors on process fundamentals, Coach teams in structured problem‑solving.
• Facilitate Kaizen workshops.
• Develop technical documentation and training materials.

• Analytical Leadership. Uses data to influence operational decisions. Simplifies complex technical problems for cross‑functional teams.
• Cross‑Functional Collaboration. Works effectively within pillars and functional areas
• Drives alignment toward shared performance targets.
• Change & Continuous Improvement Mindset
• Communication & Influence. Communicates technical concepts clearly to non‑technical stakeholders.
• Results Orientation. Focused on measurable performance impact and execution.

• Process Engineering Expertise (VSM, Statistical Process Control, Process Capability)
• Loss Understanding (Loss Map, Loss Tree, Working Principal)
• Problem Solving Tools (Lean, Kaizen, Lean, RCA,…