Carlos Joaquín Duarte Almeida
About Carlos Joaquín Duarte Almeida
Carlos Joaquín Duarte Almeida is a Sr. Operation Program Manager at Scale AI, specializing in supply chain management and fostering collaboration within teams. He holds a degree in Mechanical Engineering from Tecnológico de Monterrey and has extensive experience in various roles at Honeywell Aerospace and Siemens.
Work at ScaleAI
Carlos Joaquín Duarte Almeida has been serving as a Sr. Operation Program Manager at Scale AI since 2021. His role involves overseeing operational programs and ensuring efficient processes within the organization. He works remotely from Ciudad de México, México, and focuses on enhancing operational workflows and team collaboration.
Education and Expertise
Carlos studied at Tecnológico de Monterrey, where he earned a degree in Ingeniería Mecánica, achieving the title of Ingeniero Mecánico Administrador from 2010 to 2015. His educational background provides a solid foundation for his expertise in supply chain management and operational processes.
Background in Supply Chain Management
Carlos has extensive experience in supply chain management, having worked at Siemens in various roles from 2017 to 2021. His positions included SCM Digitalization Project Manager, Strategic Procurement Specialist, and Process Analyst Sr. & Logistics Continuous Improvement. These roles allowed him to develop skills in digitalization and process optimization.
Previous Experience at Honeywell Aerospace
Before his tenure at Siemens, Carlos completed an internship at Honeywell Aerospace in 2014. During this five-month internship, he focused on commodity and supplies management in Monterrey, México. This experience contributed to his understanding of the aerospace industry's supply chain dynamics.
Leadership and Team Collaboration
Carlos emphasizes the importance of fostering a culture of collaboration within cross-functional teams. He prioritizes open communication to ensure that every team member's voice is heard, facilitating a seamless flow of information from production to delivery. His approach supports data-driven decision-making and continuous improvement in operational processes.