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Sr. Specialist Master Data & Systems

AdidasP

📅 14/08/2026
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PURPOSE OF THE ROLE Drive the execution and governance of master data processes across the Go-To-Market (GTM) lifecycle for LATAM. Ensure data quality, system accuracy, and operational readiness to support merchandising, campaign execution, segmentation, and seasonal commercial milestones. KEY RESPONSIBILITIES • Manage and maintain GTM-related master data across systems. • Ensure accuracy and quality of article, campaign, segmentation, and commercial data. • Support key GTM milestones including campaign execution, Early Buy, assortment alignment, and season readiness. • Identify and resolve data quality issues and process gaps. • Act as key user and functional expert for merchandising and GTM systems. • Partner with Category Management, Supply Chain, Demand Planning, and Marketing teams. • Drive process improvements and automation initiatives. • Monitor data governance standards and business rules. • Support system enhancements and digital transformation projects. • Provide reporting and insights to support business decision-making. KEY STAKEHOLDERS • Business Unit Category Managers • Supply Chain • Demand Planning • Marketing • Sales Operations • eCommerce • Global GTM Teams • Global Systems & Data Teams REQUIRED EXPERIENCE • 4+ years in Master Data, Business Operations, GTM, Planning, Supply Chain, or related areas. • Experience working with cross-functional and global teams. • Strong background in process execution, systems, and data governance. REQUIRED TECHNICAL SKILLS • Master Data Management • Data Quality & Governance • SAP or similar ERP systems • Advanced Excel • Power BI • Process Improvement • Reporting & Analytics REQUIRED SOFT SKILLS • Analytical mindset • Attention to detail • Stakeholder management • Problem solving • Ownership and accountability • Strong communication skills • Continuous improvement mindset PREFERRED QUALIFICATIONS • Bachelor's degree in Business, Engineering, Information Systems, Supply Chain, or related field. • Experience in retail, consumer goods, sportswear, or merchandising environments. • Exposure to automation, AI, or digital transformation initiatives. SUCCESS METRICS • Data accuracy • GTM milestone readiness • Data quality compliance • SLA adherence • Process efficiency improvements • Automation impact • Stakeholder satisfaction
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