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