Senior Executive - Data Management
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KEY EXPECTED ACHIEVEMENTS
The master data governance rules are applied in local context
Data in information systems are updated and compliant with Group and/or Local requirements
Non-qualities are detected and corrected (accuracy, exhaustiveness, obsolescence and consistency of data)
Data quality control is continuously improved
Root causes of non quality of Data are identified, analyzed and an action plan is in place for resolution
Best practices are formalized and shared through the Data Administration Network
Data and data quality management
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