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

. Applies methods and practices to manage the full life cycle of data from creation or acquisition to disposal

. Verifies accuracy and consistency of collected data before entering them in the information system

. Analyses impact on others processes and coordinate actions

. Ensures that data providers respect the data processing procedures and alerts them in the event of non correct data.

. Enters/updates data, ensuring data compliance and appropriate security protection

. Identifies rejections, manages the correction in the information system.

. Control the quality of data, according to the defined framework (standards, instructions.)

. Conducts data cleaning to rid the system of old, unused data, duplicate or incorrect data

Problem solving and continuous improvement

. Contributes to continuous improvement to enhance data management and quality

. Analyses problems and issues

. Manages resolutions and corrective actions or escalade if relevant

. Guides others in using data and associated information system

. Requests for data quality rules evolution in order to improve non-quality detection

. Recommends and steer action plan to improve data quality