Minimum Requirements:
- Matric, preferably with Science and Mathematics.
- A diploma, degree or relevant certification in Data Management, Data Governance, Business Analysis, Information Systems, Commerce, Supply Chain, Retail or a related field would be advantageous and beneficial, but is preferred rather than mandatory.
- Experience in retail master data, data quality, data governance, SAP, merchandise, supply chain, finance administration or related business processes.
- Business acumen in Data Governance, Data Management and retail operations.
- Practical understanding of Article, Vendor, Site, Supply Chain, DSD, UoM, barcode and GS1-related data would be advantageous.
Key Responsibilities
Data Governance
- Ensure business data definitions and standards are documented and maintained as per agreed business rules.
- Support relevant Data Owners, Master Data teams and business stakeholders to drive consistency of key data elements.
- Ensure that business data is correctly synchronised with legacy and downstream systems, where required.
- Highlight data exceptions and inconsistencies to the Data Governance Team using the SAP Report Toolkit and SAP Information Steward outputs.
- Drive consistency of key data elements and investigate discrepancies raised by the Master Data Departments.
- Investigate data issues, support root-cause analysis and report any deviations.
- Guide, lead and enforce disciplines relating to data changes.
Communication
- Ensure ongoing communication with relevant stakeholders is adhered to within required standards and agreed timelines.
- Internal
- Follow up on queries, system bugs, developments, UAT, data quality exceptions and business processes timeously and update management where required.
- External
- Liaise with GS1 and relevant external stakeholders on article issues such as barcodes, unit of measure, dimensions and article statuses per vendor, where required.
Rule Master Review
- Co-ordinate and monitor agreed logistics and purchasing Article data for all Regions, to ensure that they correlate to Pick n Pay processes and standards.
- Review business rules via SAP Information Steward and ensure alignment with approved business requirements.
- Audit and monitor master data and communicate with relevant stakeholders on any deviations.
- Document business rules to related system rules.
- Ensure rule changes are reviewed, tested and approved with relevant business stakeholders.
SAP Information Steward Administration
- Create, delete and change rules within the SAP Information Steward system as per approved business requirement.
- Maintain business rule documentation and change history.
- Support rule testing, scheduling and exception monitoring.
- Work with IS and relevant technical teams where technical support is required.
Analytics
- Compare and analyse master data between systems e.g. IDW and ERP, advise and assist business on any anomalies and corrective action measures.
- Analyse data to create and enhance new and existing reports.
- Identify, evaluate and solve complex business problems for area of responsibility, where data profiling / validation is carried out as per business needs.
- Act independently to identify an approach for representing business rules and data quality checks using SAP Information Steward.
- Support IS and relevant technical teams by defining business requirements for data profiling, migration, cleansing and validation activities.
- Develop and maintain data profiling rules on product, customer and transactional data using SAP Information Steward, where applicable.
- Maintain knowledge of Data Quality, Profiling and Cleansing principles.
Reports
- Run daily, weekly and monthly reports to verify that business is generating these reports effectively.
- Compile business rule reports and distribute to relevant stakeholders to ascertain if Data KPIs are met.
- Analyse report trends and recurring exceptions and recommend corrective actions.
- Monitor data quality KPIs and escalate material issues where required.
On-going projects
- Meet deliverables for projects assigned.
- Support data quality impact analysis, UAT, rule validation and post-implementation monitoring for assigned projects.
Closing Date: 9 July 2026
