Master Data Lead x2 at The South African Breweries (SAB)

As a key member of the project team, the Master data lead is responsible for the management and maintenance of master data according to business policies and rules, supporting all modules (DP, MRP, DRP, RETPACK, CONA and WSNP,) ensuring the quality and integrity of the data, guaranteeing that it is accurate, complete and consistent for correct planning.

Key roles and responsibilities:

• Fix the basics: Owner to ensure master data for all relevant modules are checked and corrected.  (ex:  Bill of Materials; Usages; Sales numbers;  Sales Orders; Supply parameters etc. 
• Understand and document all data requirements and data sources for all modules in scope for implementation, further maintain documentation for any changes and updates
• Maintain master data consistently throughout the project
• Constantly checking and vetting data for correctness in time for module go-live
• Define timelines relating to master data processes in the project and adhere to these – while raising risks and managing project stakeholders effectively
• Support during development and testing phases to ensure data is up to date in source systems and reflects accurately in o9
• Ensure any changes to master data are made timeously to ensure project milestones are met
• Collaborate cross-functionally, where required, to ensure master data is updated
• Define processes and clear ownership of data points to ensure master data is maintained
• Define and update SOPs to ensure longevity of master data maintenance once the project reaches BAU
• Own the master data change management process across all impacted functions and measure adherence to ensure success of the project
• Prepare and present updates for project status routines

Profile:

• Relevant Bachelor’s degree that supports data analysis; supply chain, commerce or tech would be preferred
• Preferably 2 years working experience is required – Supply Chain environment beneficial
• A background and competency for data analytics would be preferred and is recommended
• Strong analytic and numerical skills
• Good communication skills
• Ability to manage complexity and ambiguity
• Ability to de-complex data and deliver a structured message to stakeholders
• Proactive, energetic and ambitious
• Resilient and able to manage change effectively
• Strong attention to detail