
Latam Master Data Operations Coordinator
4 semanas atrás
Latam Master Data Operations Coordinator / CS / São Paulo - SP at Bayer. This role focuses on leading the operation of Materials, Customers, and Value Capture across the LATAM region, ensuring data integrity, alignment with global guidelines, and collaboration with regional teams and third-party data entry providers in SAP systems.
At Bayer, we work to make the company a better place for our employees and the world a better place for everyone. Health for all, hunger for none. Diversity & Inclusion is a core value and strategic pillar. Bayer welcomes applicants from all backgrounds and experiences.
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Key Benefits and Focus- Data quality and integrity of master data (customers, suppliers/Value Capture, materials, etc.).
- Operational efficiency and improved customer experience through reliable data and streamlined processes.
- Compliance, risk management, and consistent data for analyses and reporting.
- System integration and support for digital transformation projects related to data management.
Your mission is to lead and develop the LATAM Master Data operation, ensuring synergy, compliance, deadlines, and service levels from third-party data entry providers across SAP systems. You will support business strategies, drive digitalization of data management processes, and lead teams located in Brazil and Argentina.
Key Responsibilities- Coordinate the operational strategy for LATAM, aligning with global guidelines and local needs.
- Lead and develop the Master Data team, fostering high performance, collaboration, and continuous learning.
- Ensure quality, consistency, and integrity of master data (customers, suppliers/Value Capture, materials, etc.).
- Act as a strategic partner with business areas to ensure data initiatives support decision-making and sustainable growth.
- Promote innovation and digitalization of Master Data processes via automation tools, analytics, and digital solutions.
- Identify continuous improvement opportunities and implement best market practices in data management.
- Monitor KPIs at tactical, strategic, and managerial levels to drive continuous improvement and meet business needs.
- Participate in regional and global digital transformation projects related to data management.
- Benchmark to maintain high performance/automation levels and identify opportunities for process improvements and automation with the team.
- Manage key regional stakeholders, ensuring alignment, active listening, and end-to-end process changes within and outside Master Data operations.
- Bachelor's degree in Administration, Engineering, Computer Science, Information Systems, or related fields.
- Knowledge of data governance, digitalization processes, and automation.
- Familiarity with MDM tools, ERP (SAP, Oracle), CRM (Salesforce), Power BI, among others.
- Experience in digital innovation projects applied to data management or Supply Chain areas.
- Experience managing and developing multicultural and multidisciplinary teams.
- Fluent in English.
- Spanish language skills.
- Experience applying LEAN, PDCA, Kaizen concepts and tools for mapping opportunities and root-cause analysis.
Benefits are organized around three pillars to promote life quality and employee well-being, including:
- Health Care Plan
- Dental Plan
- Medicines Subsidy
- GymPass
- Psychological, chemical dependence, legal and financial assistance
- Health monitoring during pregnancy, extended maternity/paternity leave, daycare assistance
- Private Pension Plan with favorable matching, employee loan options
- Life Insurance
- CoopBayer financial education and credit access
- Holidays and vacation flexibility
- Bayer Country Club facilities
- Working from Home policy and flexible hours
- Note: benefits may vary by position and location
Period available for applications: 11/09/25 to 19/09/25. Reference: 852959. Location: Brazil, São Paulo. Area: Information Technology. Hiring Group: Regular. Work schedule: Administrative.
Seniority level- Mid-Senior level
- Full-time
- Management and Manufacturing
- Chemical Manufacturing, Pharmaceutical Manufacturing, and Biotechnology Research
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