Data Steward (transformation programme) - #2145072

Responsibility:

• Define data ownership and accountability across the organization
• Create and manage the enterprise-wide data catalog
• Oversee the creation, maintenance and use of metadata
• Implement and maintain security protocols to protect data from unauthorised access and breaches
• Establish and enforce data governance and policy standards
• Regularly audit data access and usage to ensure compliance with policies and standards
• Collaborate with business stakeholders to understand data requirements and identify data quality issues
• Conduct data profiling and quality assessments to identify data discrepancies and inconsistencies
• Monitor the performance of  data cleansing and remediation plans for data integrity
• Provide data training and awareness to employees, improving employee capabilities and competency to understand data and their controls – inclusive of knowledge for data protection laws and regulations such as GDPR
• Stay up-to-date with data management best practices and industry trends
• Support data integration and migration projects
• Participate in data protection and privacy initiatives
• Develop and track key data quality metrics to measure improvements over time
• Establish and manage data lifecycle governance processes, including data creation, storage, use and disposal.
• Define and implement data archiving strategies to preserve data for legal, regulatory and business purposes.

Requirement:

• Minimum of 3 years’ experience working in a data role. Capability to present and guide expectations aligned to Data Best Practice (DBP) Guidance
• Proficient in documenting data processes, data lineage, and data management activities
• Excellent data analysis techniques
• Capable of creating and providing operational design and policy standards
• Good understanding of the client’s data integration patterns
• Good understanding of business data models for internal and external stakeholders
• Expertise in data profiling, data cleansing, and data validation techniques
• Can identify impacts of data (or bad data)
• Exposure to a range of visualization and reporting techniques to drive data integrity standards.
• Purview is a must