Global Product Master Data Lead

Coca-Cola Co; Ciudad de México; Híbrido; MXN 2.050.000 - 2.489.000; Jornada completa

Descripción de la vacante

The Coca-Cola Co is seeking a Manager, Product Master Data Operations to govern enterprise product data across the global supply chain. You will drive data quality, standardization, and governance while partnering with stakeholders, MSPs, and technology teams.

Responsibilities include managing finished goods, BOMs, and recipes, supporting product launches and digital transformation, and driving continuous improvement in master data processes.

Formación

• Bachelor's Degree in Information Systems, Supply Chain Management, Business Administration, Data Management, Engineering, or related field.

Responsabilidades

• Govern and manage enterprise Product Master Data across global supply chain.
• Maintain data quality and ensure compliance with governance standards.
• Support MSPs and cross-functional teams in data maintenance and process improvements.
• Validate master data requests and ensure accurate data transactions.
• Support product launches, packaging changes, and supply chain transformations.
• Drive standardization and continuous improvement across product data processes.

Conocimientos

Data Governance

Data Quality Management

Master Data Management

Product Information Management (PIM)

GS1 Standards

GDSN

SAP

MDG

Power BI

Excel

Educación

Bachelor's Degree in Information Systems

Bachelor's Degree in Supply Chain Management

Engineering or related field

Herramientas

SAP

SAP MDG

PLM Systems

Power BI

Microsoft Excel

Descripción del empleo

The Coca-Cola Co is seeking a Manager, Product Master Data Operations to govern enterprise product data across the global supply chain. You will drive data quality, standardization, and governance while partnering with stakeholders, MSPs, and technology teams.

Responsibilities include managing finished goods, BOMs, and recipes, supporting product launches and digital transformation, and driving continuous improvement in master data processes.