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