Enterprise Metadata Analyst at Nedbank

Job Purpose

• To ensure that data assets are accurately built and continuously maintained through the discipline of metadata management to deliver simplistic, standardised, and user-friendly data terms and definitions that underpin the data landscapes. Responsible for executing on Metadata strategies in line with Enterprise Data Management policies and frameworks.
• Responsible for metadata management awareness including advocating the value and potential of metadata. Responsible for embedding the metadata management practice and for building, managing, and governing the Nedbank enterprise metadata repository, the Metadata Hub. Manages tasks, responsibilities, and processes for supporting and promoting the management of metadata.

Job Responsibilities

• Cataloguing of metadata (glossary, technical, business and operational) for all critical data elements across clusters.
• Identifying, logging, escalating, root cause analysis and the resolution of metadata issues in support of the resolution of metadata issues. 
• Create and maintain process flows and data flows of critical business processes for documentation purposes.
• Integrate metadata in the approved metadata tools ensuring metadata standards, procedures and guidelines are adhered to.
• Monitor the ongoing assessment of metadata and processes to ensure defects and business process inefficiencies are identified.
• Metadata reporting: Create and provision reports based on the outcomes of monitoring metadata to ensure all stakeholders are informed of its completeness.
• Ensure the ongoing promotion of metadata services through effective communication, metadata training and change management through the creation of handbooks and manuals, formal training sessions etc. throughout Nedbank.
• Ensure that minimum metadata requirements to be met by all clusters are set.
• Use of Ab Initio to create metadata and create a view of all metadata across the enterprise
• Attend relevant sessions to drive adoption of metadata management best practices
• Stay abreast of industry trends and developments
• Understanding of data quality management in order to support the wider team

Essential Qualifications - NQF Level

• Advanced Diplomas/National 1st Degrees

Preferred Qualification

• BSc Information Science/Systems, BCom Informatics

Essential Certifications

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

Preferred Certifications

• Process engineering, process optimisation, Business analysis

Minimum Experience Level

• 10 years’ experience, most of which should be in financial sector
• Data manipulation experience
• Solid understanding of metadata and data lineage
• Basic knowledge of programming languages
• Understanding of Data Governance Principles