Project Manager - Productivity & Process Innovation (Monterrey)

Responsibilities

• Continuous Improvement Leadership: Drive continuous improvement initiatives by prioritizing projects, mobilizing resources, and overseeing end-to-end project execution.
• Process Architecture and Optimization: Build and refine business processes to enhance efficiency, streamline workflows, and reduce waste across operations.
• Business Case Development and Financial Impact: Prepare comprehensive business cases and financial impact assessments for productivity and efficiency initiatives, aligning projects with strategic objectives and ROI targets.
• Project Execution and Post-Kaizen Control: Manage the execution of lean and Kaizen projects, implementing post‑Kaizen control mechanisms to ensure long‑term sustainability of improvements.
• AI Use Case Development and Implementation: Partner with IT to create and implement a pipeline of AI initiatives, focusing on AI use case identification, definition, and deployment to enhance predictive capabilities and automation in operations.
• Cross‑functional Collaboration: Collaborate with location operations and cross‑functional teams to identify key efficiency and productivity opportunities, ensuring effective local implementation and alignment with global standards.
• Data‑Driven Decision Making: Leverage analytics and performance metrics to prioritize projects, measure impact, and drive continuous improvement efforts.

KPI responsibility

• On‑Time delivery
• Productivity / Efficiency Inventory $

Education and Certifications

• Bachelor's degree in Engineering, Business, Operations Management, or a related field.
• 5+ years of experience in continuous improvement, lean deployment, or project management within manufacturing or supply chain operations.
• Proven expertise in lean methodologies, Kaizen, and process optimization, with a history of successful project management.
• Strong financial acumen with experience developing business cases and conducting ROI assessments for improvement initiatives.
• Familiarity with AI and data analytics in an operational context, and experience collaborating with IT on technology‑driven initiatives.
• Exceptional project management, analytical, and communication skills, with a demonstrated ability to work across teams in a multi‑site environment.

Physical Requirements

No Special Physical Requirements

Environmental Demands

No Special Requirements

Travel Time Required

10%