Job Description

Job Purpose:
The Data Steward is a data governance role within the company that is responsible for ensuring the quality and fitness for purpose of the organization's data assets, including the metadata for those data assets. To provide data management services for the client data domain that spans more than one cluster. Ensure a complete view of client data throughout the organisation and inform and implement the decisions of the data governance council.Job Responsibilities:

• Provide data management services for the GT Data domain and Enterprise Data Warehouse that spans more than one cluster. Coordinate with clusters to ensure a complete view of data in the data warehouse throughout the organisation and inform and implement the decisions of the data governance council.
• Provide strategic oversight and ensure governance controls are in place to appropriately govern processes within Group Technology and data warehousing ecosystem. Actively collaborate with stakeholders to maintain alignment of the company data practices to industry, mature the practice and entrench within the operations of the company
• Maintain up to date knowledge of latest developments in data ecosystem, carry out research and consult industry experts regarding best practice, regulation, and technology trends, build external networks that facilitate deeper understanding, attend relevant forums.
• Engage with stakeholders to obtain an understanding of their data warehousing needs. Become a trusted advisor too, and influence decision making of stakeholders by providing an advisory service, guidance and support on data policies, management practices, processes, training requirements etc.
• Identify opportunities to influence the improvement or enhancement of business processes and methodologies by researching and recommending improvement initiatives and effective ways to operate and add value to the company.
• Provide strategic input into the Enterprise Data Strategy on Management and Governance of data in the data warehousing environment to create alignment and to leverage opportunities for data reuse.
• The implementation of Data Governance policies while executing data management services on projects or daily business operations in all GT domains and Data Warehousing Environment.
• Contributing to the development of standards for data within the data GT domains in alignment with the company Group and provide oversight and assurance on adherence to governance standards.
• Documenting and communicating the rules and standards around the data in all Group Technology domains.
• Defining data quality rules and business meta data in collaboration with the source data owners for all data elements loaded to the company Data Reservoir
• The translation of business defined data quality rules to technical data quality rules which will be executed when data is loaded to the company Data Reservoir
• The refinement of data quality rules based on data consumer requirements which initiates data quality remediation efforts in collaboration with data source owners in GT.
• Ongoing monitoring and resolution of data quality issues pertaining to data in the GT domains.
• Validating automated data lineage and mapping of data lineage manually.
• Establishing and maintaining collaborative partnerships with data owners in Group Technology and data consumers, represented by various Clusters in the company Group (Exco, Manco, and Regulatory Reporting).
• Evaluating business requirements and acts as liaison between data owner and data consumers to ensure business value is derived.

Qualification Requirements:

• Advanced Diplomas/National 1st Degrees
• Data Management (DAMA) Certification, Certification/formal training in relevant technology

Essential Certifications:

• DAMA certified data management professional (CDMP) or similar data management certification

Minimum Experience Level:

• 5-7 years experience is in a data management /business role.
• High-level Understand BCBS239/RDARR, POPIA, GDPR and another relevant regulatory knowledge.
• DAMA

Technical Knowledge:

• Ab Initio stack
• Metadata Hub (implementation of lineage, data glossary)
• ExpressIT (capturing data quality rules, testing, profiling, implement rules),
• Data analysis Basic concepts
• Write and read SQL code

Professional Knowledge

• The companies policies and procedures
• Relevant regulatory, compliance and risk legislation
• Industry trends
• Business Acumen
• Relevant software and systems knowledge
• Research methodology
• Principles of financial management
• Governance, Risk and Controls
• Operational risk management

Behavioral Competencies

• Adaptability
• Building Partnerships
• Communication
• Decision Making
• Stress Tolerance
• Technical/Professional Knowledge and Skills

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