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RESPONSIBILITIES

& MAIN TASKS Support govern and contribute to a fully integrated and aligned Data Strategy across the SBM organization. Develop and maintain the organization's enterprise data architecture, including data standards, policies, and procedures. Design and implement conceptual, logical and physical data models, data flow diagrams, data dictionaries, and other relevant artifacts that describe data structures, relationships, and dependencies. Collaborate with business stakeholders, data scientists, and other technical teams to identify and prioritize data requirements, use cases, and data sources. Work with data governance officers, data engineers, and other IT professionals to ensure the efficient and effective integration, transformation, storage, and retrieval of data across various systems and platforms. Develop and maintain metadata repositories and data lineage documentation to track data sources, transformations, and usage. Ensure that data models are scalable, secure, and compliant with regulatory and privacy requirements. Develop and maintain data quality standards, data validation rules, and data profiling techniques to ensure the accuracy, completeness, and consistency of data. Develop and maintain data standards, and procedures to ensure that data assets are managed and used in accordance with industry best practices and legal requirements. Evaluate and recommend new technologies, tools, and methodologies to improve data architecture and modeling practices.

JOB REQUIREMENTS

Barchelor’s degree in Computer Science, Information Systems, or related field. 3+ years of experience in Master Data Management, with experience in administrating Master Data Management tools. Knowledge of Master Data Management concepts, including master data structure, format, governance, and security. Experience in implementing business workflows for master data creation and maintenance. Expertise in SQL, data profiling, data quality, and data integration technologies. Knowledge of enterprise data management concepts such as data governance, data quality, metadata management, and data lineage with security best practices. Strong communication and collaboration skills. Ability to work independently and in a team environment. Ability to work in a fast-paced, dynamic environment and manage multiple projects simultaneously. Fluent in English