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Mdm Associate Latam @Kerry
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WORK HISTORY
Mdm Associate Latam @Kerry
Queretaro, MX
MDM Associate for the LATAM region, I specialize in managing and maintaining customer-related master data to ensure acurracy, consistency, and availability across key business processes. I collaborate closely with across functional teams to support seamless data flores from prospect creation to transport terms validation and commercial conditions setup. My work is driven by continuos improvement, issue resolution, and the implementation of process change requests, contributing to more agile and customer-centric operations.
EDUCATION
Colegio de Estudios Científicos y Tecnológicos del Estado de Guanajuato
Técnico , Tecnología química/Técnico químico
Universidad Tecnológica del Suroeste de Guanajuato
Ingeniería, Ingenieria en Procesos Alimentarios
ABOUT ARANZAZÚ L.
I am a Food Process Engineer with solid experience in quality assurance, focusing on raw materials and supplier management. My career has allowed me to develop strong expertise in master data management, where I have served as Site Quality Lead and acted as backup Recipe Controller, ensuring accuracy, compliance, and efficiency in data processes.Currently, I am engaged in Master Data Management (MDM) for clients across Latin America, while simultaneously expanding my knowledge and skills in the North America (Namer) region. This dual exposure has strengthened my ability to adapt to diverse business environments and to collaborate effectively with multicultural teams.My professional interests lie in continuous improvement, experimental design, and statistical analysis, which I apply to optimize processes and drive innovation. am passionate about leveraging data-driven methodologies to enhance operational performance and contribute to organizational excellence.With a strong academic foundation and practical experience in both technical and managerial aspects of food process engineering and data governance, I aim to continue building expertise that bridges quality management, master data, and process optimization.
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