




Position Summary: Lead the strategy for information management, administration, and governance, as well as the development of data models to support strategic decision-making. Key Responsibilities: 1. Lead the end-to-end data lifecycle strategy 2. Manage analytics and data science projects 3. Ensure information integrity, availability, and confidentiality PAQUETEXPRESS A leading national logistics company with the broadest nationwide coverage and the highest growth rate in the sector is seeking top talent. You are invited to join our outstanding team as: Data Manager WE OFFER: An additional 15-day bonus (aguinaldo) Vacation premium exceeding statutory requirements Savings fund Funeral expense coverage Life insurance Major medical expense insurance Utility vehicle, fuel, and maintenance Fonacot loan program Dental care services Ongoing training 50% discount on shipments Three paid days off during Holy Week · DESCRIPTION: Lead the strategy for managing, administering, and governing information stored across various technological platforms, as well as developing new data models to support strategic decision-making within the organization. Main Responsibilities: Lead the end-to-end data lifecycle strategy—from data generation, backup, and exposure—to support business decision-making. Manage the execution and continuity of analytics and data science projects. Ensure information integrity, availability, and confidentiality through governance and information architecture management and maintenance. Ensure proper handling of database backups, restoration, and upgrades, as well as determine and monitor storage capacity, security, and performance. Develop and maintain technical documentation for data structures (metadata and relationships among data objects). Monitor and plan DRP (Disaster Recovery Plan) protocols for various databases. WORK SCHEDULE 8:30 AM – 1:00 PM; 3:00 PM – 6:30 PM Half-day Saturdays · REQUIREMENTS: Bachelor's degree in Information Technologies or related field. 5 years of experience in a similar role, including personnel management. Extensive and mandatory experience with Oracle Database 12c (ADG, RAC, TDE, etc.). Experience in information modeling using machine learning techniques. Proficiency in MS SQL Server (SSIS, SSAS, SSRS). Experience with NoSQL technologies such as MongoDB, Redis, and Cassandra. Experience with Big Data technologies including Hadoop, HDFS, Spark, etc. Intermediate English proficiency. Advanced Microsoft Office skills. · OUR COMPANY IS INCLUSIVE, RESPECTS DIVERSITY, AND DOES NOT ENGAGE IN ANY FORM OF DISCRIMINATION. S O C I A L L Y R E S P O N S I B L E C O M P A N Y . -Requirements- Minimum education: Higher education – Bachelor's degree 5 years of experience Knowledge areas: Logistics, Machine Learning, Oracle, Python, Spark, Technology Willingness to travel: Yes Willingness to relocate: Yes Keywords: leader, supervisor, manager, director, chief, lead, leadership, data, technologist, technician, tech, technology, information
