AI-Driven Risk Data Governance Analyst

Jobtailor; Johannesburg; On-site; ZAR 600,000 - 900,000; Full time

Job summary

Jobtailor is seeking a data governance professional to enhance independent data governance and quality assurance across Credit Risk data domains. You will test data quality controls, define and monitor KPIs with Data Owners and Data Stewards, and localise governance artefacts.

The role involves applying BCBS 239/RDARR principles, building inventories, mappings, dictionaries, and reports, plus contributing to audit and assurance activities.

Qualifications

• Knowledge of DAMA-DMBOK-aligned governance policies, standards, and artefacts.
• Knowledge of BCBS 239/RDARR principles.
• Experience with SQL and SAS for data quality controls and validation logic.
• Experience with Power BI and QlikView for data quality and governance reporting dashboards.

Responsibilities

• Provide independent data governance and data quality assurance within the Enterprise Risk function as Second Line of Defence (2LOD).
• Build and test data quality controls.
• Support design and implementation of the Data Ownership framework.
• Work with Data Owners and Data Stewards to define and monitor data quality KPIs.
• Localise governance policies, standards, and artefacts for the Credit Risk data domain.
• Apply BCBS 239/RDARR principles to control design across upstream and downstream data flows.
• Create and maintain Critical Data Element inventories, Source-to-Target Mapping documentation, data dictionaries, and business glossaries.

Skills

Data Governance

Data Quality Assurance

BCBS 239/RDARR Principles

Interpreting Functional Requirements

Collaboration with Data Owners

Communication with Stakeholders

DAMA-DMBOK Knowledge

SQL

SAS

Power BI

QlikView

AI-enabled Data Quality Tooling

Education

Bachelor Honours Degree: BMI - Business Management and Informatics

Tools

SQL

SAS

Power BI

QlikView

AI-Enabled Data Quality Tooling

Job description

Jobtailor is seeking a data governance professional to enhance independent data governance and quality assurance across Credit Risk data domains. You will test data quality controls, define and monitor KPIs with Data Owners and Data Stewards, and localise governance artefacts.

The role involves applying BCBS 239/RDARR principles, building inventories, mappings, dictionaries, and reports, plus contributing to audit and assurance activities.