Data Management Specialist

Functional Scope

• Data Governance
• Reference and Master Data Management
• Data Quality Management
• Metadata Management
• Data Modelling and Design
• Data Architecture
• Data Warehousing and Business Intelligence
• Data Development
• Data Security
• Data Storage and Operations
• Data Integration and Interoperability

Key Responsibilities

• Guiding the refinement and continuous improvement of tools, methods, and processes in the area of data management
• Designing and implementing processes, procedures, and technology required for complex, large-scale data sets used for data management areas such as algorithmic modelling, data mining, and research purposes
• Preparing required data by performing data assessment, data analysis, consolidation, and/or cleansing
• Defining, developing, implementing, enhancing, and maintaining multiple datasets that support different business processes
• Developing and managing stakeholder relations effectively to promote data management across the organisation and support reliable decision-making and appropriate data usage
• Participating in and providing technical support in cross-organisational activities relating to data management activities
• Evaluating datasets for consistency, completeness, and accuracy and taking reasonable action to correct
• Performing data management activities in accordance with the needs of the organisation
• Providing regular progress reports as per stakeholder requirements and presenting data management updates in various forums as required
• Developing process improvements for data management activities
• Performing data analysis using statistical tools
• Addressing issues, questions, and problems in an accurate and timely manner
• Creating a database for storing data management artefacts and troubleshooting problems
• Interacting with business stakeholders and other teams to obtain data requirements for new and existing applications
• Data engineering skills - Build integration pipeline, data warehousing, system integrations
• Data quality – Business data quality (not ETL transformations)
• Data Analysis – Not BI. Managing data inventory, data assets, understand how systems are interconnected Eg: analyze impact of data sovereignty or economic shock, etc
• Taxonomies - Financial Markets, statistics, spatial visualization, etc
• Data Sensitivity, retention, data lifecycle management
• Data modelling – Database design/implementation
• Reference Data Management – Eg payment domain, swift code, crossborder management, etc
• Master Data management - Financial Industry or Trade/Statistics