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Master Data Manager

Job in Midrand, Gauteng, South Africa
Listing for: Vector Logistics
Full Time position
Listed on 2026-01-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Job Description & How to Apply Below

Permanent

Midrand

Overview

We are a Supply Chain and Sales & Merchandising partner adding value to your business through a fully integrated, temperature‑controlled network in Southern Africa. But we are also more than that. We are people serving people. While we boast the best in tech and infrastructure, our people are our greatest resource. With our skilled, curious, can‑do people at the forefront, our assets become your assets, our service your solutions.

Vector’s vehicle fleet includes a food‑industry first in ‘multi‑temperature’ vehicles(Table: food industry first in ‘multi-temperature’ vehicles enabling the company to service business across frozen, chilled and ambient temperature zones on a single delivery).

Job Purpose

To provide vision and expertise on the enterprise information model and data architecture and all corresponding data models throughout the Business in poble of support of enterprise integration, solutions architecture, enterprise reporting and commencer Business Intelligence initiatives, with a clear line of sight towards achieving the business goals.

Key Responsibilities Operational Management
  • Oversee the complete lifecycle of master data (material, customer, vendor, general ledger, pricing) across SAP and other business systems.
  • Manage the Business master data model to accurately reflect the organisation’s operational and strategic requirements.
  • Facilitate the creation, validation, approval, and maintenance of master data records in collaboration with relevant business functions.
  • Coordinate with user functions to ensure completeness, correctness, and consistency of master data requests.
  • Manage all data interfaces and mass uploads related to new business take‑on, process changes, and system implementations.
  • Monitor and control data redundancy (e.g. duplicate records) using system algorithms and regular manual audits.
  • Implement controls to ensure data integrity, accuracy, and alignment across systems through continuous data quality reviews.
  • Conduct quarterly data integrity tests and lead initiatives to improve data cleanliness, comprehensiveness, and usability.
  • Drive timely communication of changes to master data structures, standards, and processes to all stakeholders.
  • Engage with key business stakeholders to align master data with business performance needs and ensure high data integrity.
  • Collaborate with IT and business functions to develop and maintain reporting tools that support data quality management and auditing.
  • Ensure SLA (Service Level Agreement) compliance and address service issues with appropriate stakeholders.
Data Standards Establishment and Ownership
  • Define and document master data standards, including field‑level definitions, business rules, and classification structures.
  • Introduce and embed relevant national, international, and Group data standards into master data processes.
  • Lead the implementation of master data management systems, covering data definition, maintenance, conversions, and reporting.
  • Collaborate cross‑functionally to define and enforce data governance policies, maintenance procedures, and quality controls.
  • Deploy workflow solutions that ensure timely, accurate, and compliant creation and approval of master data records.
  • Integrate business rules into validation processes at the point of data entry, reducing errors and enforcing consistency.
  • Work with IT to build and maintain tools for maintaining master data integrity and alignment across SAP and ancillary systems.
  • Establish compliance metrics and controls to continuously monitor and improve data quality.
Reporting
  • Develop and deliver monthly management reports and dashboards tracking KPIs related to data quality, accuracy, completeness, and SLA performance.
Innovation & Transformation
  • Lead efforts to modernise master data processes by integrating emerging technologies, aligning with broader business and IT strategies.
  • Identify, implement, and optimise automation opportunities using tools such as Robotic Process Automation (RPA), SAP automation solutions, and bulk data upload utilities to reduce manual effort and errors.
  • Assess current master data workflows to eliminate inefficiencies and redundancies. Design…
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