Data Steward (transformation programme)

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