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.

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
• Stakeholder engagement
• Reporting writing
• Data Process flow documentation
• Data cataloguing
• Data contracts/standards writing
• Policy interpretation and implementation
• Project management
• Interpret Data/System Architecture diagrams

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

Technical / Professional Knowledge

• Relevant software and systems knowledge
• Ab Initio Metadata Hub
• Metadata management
• Data Lineage
• Data Governance
• Business Analysis

Behavioural Competencies

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