Global Logistics CI PM
San Pedro Garza Garcia, Nuevo Leon, MX, 66220
About the Role
The Global Logistics CI PM - Process Intelligence leads data-driven continuous improvement across global transportation operations by leveraging transportation management and process mining capabilities. The role provides end-to-end visibility of transportation processes, identifies inefficiencies and value leakage, and translates insights into a prioritized improvement pipeline. Working across regions and functions, this position enables fact-based decision-making, process harmonization, and scalable optimization of cost, service performance, and compliance.
Key Responsibilities Include
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Lead end-to-end visibility of global transportation processes using process mining tools to monitor performance and identify deviations.
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Analyze operational inefficiencies, bottlenecks, manual interventions, lead time variances, and cost leakage drivers.
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Drive structured regional follow-up to support consistent execution of global transportation standards.
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Enhance Global Transportation Excellence standards and identify adoption or performance gaps across regions.
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Quantify financial and operational impact of improvement opportunities, including cost, service, productivity, and working capital benefits.
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Apply standardized methodologies for value calculation and baseline management.
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Consolidate and prioritize improvement opportunities based on value, feasibility, and scalability.
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Leverage data from process mining platforms, OTM, SAP, and related systems to generate actionable insights.
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Develop and maintain dashboards and analytical models aligned with business needs.
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Provide fact-based recommendations to stakeholders and support governance, tracking, and realization of continuous improvement initiatives.
About You
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Master’s degree, preferably in Supply Chain Management, Operations Management, or a related field.
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5+ years of experience in global transportation or logistics operations.
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At least 4 years of experience in process design, optimization, or efficiency programs.
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Proven project management and cross-functional stakeholder management experience.
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Strong expertise in Celonis or similar process mining tools, TMS platforms, and SAP data structures.
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Experience in data-driven decision making, value identification, and quantification.
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Knowledge of transport operations across multiple modes, including sea freight, bulk, and temperature-controlled logistics.
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Experience implementing logistics continuous improvement initiatives and driving adoption of standards across regions.
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Advanced analytical, dashboard development, and data interpretation capabilities.
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Professional English communication skills; Lean Six Sigma Green Belt is an advantage.
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Ability to travel up to 25% and work effectively in a global environment.
Job Segment:
Logistics, Supply Chain Manager, Supply Chain, Six Sigma, Lean Six Sigma, Operations, Management