Vector Logistics Limited
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 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 support of enterprise integration, solutions architecture, enterprise reporting and 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 qualityreviews.
Conduct quarterly data integrity tests and lead initiatives to improve data cleanliness, comprehensiveness, and usability.
Drive timely communication of changes to masterdata structures, standards, and processes to all stakeholders.
Engage with key business stakeholders to alignmaster data with business performance needs and ensure high dataintegrity.
Collaborate with IT and business functions to develop and maintain reporting tools that support data quality management and auditing.
Ensure SLA (Service Level Agreement) complianceand address service issues with appropriate stakeholders.
Data Standards Establishment and Ownership
Define and document master data standards,including field-level definitions, business rules, and classificationstructures.
Introduce and embed relevant national,international, and Group data standards into master data processes.
Lead the implementation of master datamanagement systems, covering data definition, maintenance, conversions,and reporting.
Collaborate cross-functionally to define andenforce data governance policies, maintenance procedures, and qualitycontrols.
Deploy workflow solutions that ensure timely,accurate, and compliant creation and approval of master data records.
Integrate business rules into validationprocesses at the point of data entry, reducing errors and enforcingconsistency.
Work with IT to build and maintain tools formaintaining master data integrity and alignment across SAP and ancillarysystems.
Establish compliance metrics and controls tocontinuously monitor and improve data quality.
Reporting
Develop and deliver monthly management reportsand dashboards tracking KPIs related to data quality, accuracy,completeness, and SLA performance.
Innovation & Transformation
Lead efforts to modernise master data processesby integrating emerging technologies, aligning with broader business andIT strategies.
Identify, implement, and optimise automationopportunities using tools such as Robotic Process Automation (RPA), SAPautomation solutions, and bulk data upload utilities to reduce manualeffort and errors.
Assess current master data workflows toeliminate inefficiencies and redundancies. Design improved processesthat enhance data accuracy, processing speed, and responsiveness tobusiness needs.
Continuously scan the technology landscape forinnovations in data management (e.g. AI, Machine Learning, predictiveanalytics),and evaluate their relevance and application within theorganisation.
Innovation & Transformation (continued)
Collaborate with IT and data science teams toexplore AI-enabled solutions such as: Duplicate detection and automated cleansing; Intelligent data enrichment and classification; Predictive data suggestions during entry orapproval; Natural Language Processing (NLP) tostreamline data request submissions.
Act as a champion for data-drivendecision-making by promoting a culture of ownership, data integrity, andcontinuous improvement across departments.
Ensure all improvements are scalable andaligned with enterprise architecture principles, enabling consistentstandards across all business units and systems.
Governance, Risk and Compliance
Ensure master data compliance with internalaudit requirements and external regulations such as POPIA and GDPR.
Governance, Risk and Compliance (continued)
Establish governance frameworks for master dataownership, stewardship, and accountability across business units.
Define and manage role-based access controlsfor master data in alignment with organisational security policies.
Participate in internal and external audits,ensuring data practices meet risk and compliance standards.
Collaborate with internal stakeholders toidentify and close compliance gaps in master data processes.
Support data privacy, retention, and protectionpolicies as they relate to master data.
Technical Expertise
Act as the subject matter expert (SME) formaster data, providing strategic and technical guidance to business andIT leadership.
Stay current on SAP developments (especiallyECC6 and potential S/4HANA migration paths), tools, and integrationtechnologies relevant to master data.
Staff Management
Lead, coach, and develop a team of master dataprofessionals, ensuring alignment with legislative requirements andcompany policies.
Identify and train master data representativesacross business functions to support decentralised data maintenance.
Monitor team performance and provide ongoingfeedback, support, and development opportunities.
Ensure resource availability and adherence toservice levels through effective scheduling, time management, andworkload allocation.
Drive succession planning, talent development,and retention initiatives.
Foster a culture of continuous improvement,accountability, and collaboration through regular team engagement andcommunication.
Ensure team compliance with master datastandards to maintain organisational information and financialintegrity.
Promote employment equity and diversity withinthe team in alignment with organisational targets.
KPI’s
SLA Achievement: Timely creation and amendment of master data in line with agreed service level agreements (SLAs).
Master Data Alignment: Accurate reflection of business requirements within master data models and structures.
Management Engagement: Active and ongoing collaboration with business and functional leadership to ensure data relevance and usability.
Data Standards Compliance: Adherence to internal data standards and alignment with Group-wide and external data governance frameworks.
Data Quality: High levels of accuracy, consistency, and completeness of master data across core systems and integrated platforms.
Data Synchronisation: Gate keeper and ensure effective integration and alignment of master data across all interfacing systems.
Process Automation & Efficiency: Reduction of manual processes through automation, improving turnaround time and reducing error rates.
Innovation & Continuous Improvement: Delivery of process enhancements, automation solutions, or AI-driven initiatives to improve master data management.
Stakeholder Satisfaction: Positive feedback from internal stakeholders on service delivery, responsiveness, and data reliability.
Team Performance: High-performing, well-developed team aligned to master data governance, quality, and compliance objectives.
Key Relationships Internal
Group managers.
Planning teams.
Finance teams.
Customer Teams.
Operations Teams.
IT Teams.
Corporate support functions.
External
Customers.
Principals.
Suppliers.
Non-stock Vendors.
Qualifications, Skills and Experience Required for the Job Qualifications and Experience
Relevant degree or equivalent 3-year Diploma.
A minimum of 5 years’ experience in SAP master data management and maintenance in a logistics, FMCG or manufacturing environment.
Excellent knowledge of SAP SD, FI/CO, MM, WM / CRM modules is essential.
Skills and Competencies Leadership Standards
Provide inspirational leadership.
Create a culture of execution.
Display business insight and innovate.
Develop customer service obsession.
Develop commitment through engagement.
Knowledge
SAP ECC (Master Data - Customer, Material, Vendor, Pricing, General Ledger).
Workflow.
Interfaces.
SAP Query.
Microsoft WORD, EXCEL (Advanced), POWERPOINT.
Good understanding and working knowledge of business processes within a logistics / warehousing environment.
Data warehousing solutions and technologies.
Skills
Verbal and written communication.
Computer literacy (see above systems and MS Office skills prerequisite).
Report writing.
Interpersonal.
Relationship management.
Logical thinking.
Analytical thinking.
Presentation.
Project management.
Numeracy.
Organisational awareness.
Attributes
Tolerant of stress and pressure.
Proactive.
Able to work independently.
Attention to detail.
Deadline driven.
Able to plan ahead and manage time.
Able to prioritise.
Innovative and creative.
Able to translate business requirements into data requirements.
Vector Logistics supports the principles of Employment Equity and is committed to building a diverse and inclusive workplace. Preference will be given to candidates from designated groups in line with our Employment Equity Plan.
If you have not heard from us within 3 to 4 weeks after submitting your application, please consider your application unsuccessful on this occasion. We truly appreciate your interest in joining the Vector team and encourage you to stay connected for future opportunities that may align with your skills and career journey.
We look forward to hearing from you!
#J-18808-Ljbffr
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 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 support of enterprise integration, solutions architecture, enterprise reporting and 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 qualityreviews.
Conduct quarterly data integrity tests and lead initiatives to improve data cleanliness, comprehensiveness, and usability.
Drive timely communication of changes to masterdata structures, standards, and processes to all stakeholders.
Engage with key business stakeholders to alignmaster data with business performance needs and ensure high dataintegrity.
Collaborate with IT and business functions to develop and maintain reporting tools that support data quality management and auditing.
Ensure SLA (Service Level Agreement) complianceand address service issues with appropriate stakeholders.
Data Standards Establishment and Ownership
Define and document master data standards,including field-level definitions, business rules, and classificationstructures.
Introduce and embed relevant national,international, and Group data standards into master data processes.
Lead the implementation of master datamanagement systems, covering data definition, maintenance, conversions,and reporting.
Collaborate cross-functionally to define andenforce data governance policies, maintenance procedures, and qualitycontrols.
Deploy workflow solutions that ensure timely,accurate, and compliant creation and approval of master data records.
Integrate business rules into validationprocesses at the point of data entry, reducing errors and enforcingconsistency.
Work with IT to build and maintain tools formaintaining master data integrity and alignment across SAP and ancillarysystems.
Establish compliance metrics and controls tocontinuously monitor and improve data quality.
Reporting
Develop and deliver monthly management reportsand dashboards tracking KPIs related to data quality, accuracy,completeness, and SLA performance.
Innovation & Transformation
Lead efforts to modernise master data processesby integrating emerging technologies, aligning with broader business andIT strategies.
Identify, implement, and optimise automationopportunities using tools such as Robotic Process Automation (RPA), SAPautomation solutions, and bulk data upload utilities to reduce manualeffort and errors.
Assess current master data workflows toeliminate inefficiencies and redundancies. Design improved processesthat enhance data accuracy, processing speed, and responsiveness tobusiness needs.
Continuously scan the technology landscape forinnovations in data management (e.g. AI, Machine Learning, predictiveanalytics),and evaluate their relevance and application within theorganisation.
Innovation & Transformation (continued)
Collaborate with IT and data science teams toexplore AI-enabled solutions such as: Duplicate detection and automated cleansing; Intelligent data enrichment and classification; Predictive data suggestions during entry orapproval; Natural Language Processing (NLP) tostreamline data request submissions.
Act as a champion for data-drivendecision-making by promoting a culture of ownership, data integrity, andcontinuous improvement across departments.
Ensure all improvements are scalable andaligned with enterprise architecture principles, enabling consistentstandards across all business units and systems.
Governance, Risk and Compliance
Ensure master data compliance with internalaudit requirements and external regulations such as POPIA and GDPR.
Governance, Risk and Compliance (continued)
Establish governance frameworks for master dataownership, stewardship, and accountability across business units.
Define and manage role-based access controlsfor master data in alignment with organisational security policies.
Participate in internal and external audits,ensuring data practices meet risk and compliance standards.
Collaborate with internal stakeholders toidentify and close compliance gaps in master data processes.
Support data privacy, retention, and protectionpolicies as they relate to master data.
Technical Expertise
Act as the subject matter expert (SME) formaster data, providing strategic and technical guidance to business andIT leadership.
Stay current on SAP developments (especiallyECC6 and potential S/4HANA migration paths), tools, and integrationtechnologies relevant to master data.
Staff Management
Lead, coach, and develop a team of master dataprofessionals, ensuring alignment with legislative requirements andcompany policies.
Identify and train master data representativesacross business functions to support decentralised data maintenance.
Monitor team performance and provide ongoingfeedback, support, and development opportunities.
Ensure resource availability and adherence toservice levels through effective scheduling, time management, andworkload allocation.
Drive succession planning, talent development,and retention initiatives.
Foster a culture of continuous improvement,accountability, and collaboration through regular team engagement andcommunication.
Ensure team compliance with master datastandards to maintain organisational information and financialintegrity.
Promote employment equity and diversity withinthe team in alignment with organisational targets.
KPI’s
SLA Achievement: Timely creation and amendment of master data in line with agreed service level agreements (SLAs).
Master Data Alignment: Accurate reflection of business requirements within master data models and structures.
Management Engagement: Active and ongoing collaboration with business and functional leadership to ensure data relevance and usability.
Data Standards Compliance: Adherence to internal data standards and alignment with Group-wide and external data governance frameworks.
Data Quality: High levels of accuracy, consistency, and completeness of master data across core systems and integrated platforms.
Data Synchronisation: Gate keeper and ensure effective integration and alignment of master data across all interfacing systems.
Process Automation & Efficiency: Reduction of manual processes through automation, improving turnaround time and reducing error rates.
Innovation & Continuous Improvement: Delivery of process enhancements, automation solutions, or AI-driven initiatives to improve master data management.
Stakeholder Satisfaction: Positive feedback from internal stakeholders on service delivery, responsiveness, and data reliability.
Team Performance: High-performing, well-developed team aligned to master data governance, quality, and compliance objectives.
Key Relationships Internal
Group managers.
Planning teams.
Finance teams.
Customer Teams.
Operations Teams.
IT Teams.
Corporate support functions.
External
Customers.
Principals.
Suppliers.
Non-stock Vendors.
Qualifications, Skills and Experience Required for the Job Qualifications and Experience
Relevant degree or equivalent 3-year Diploma.
A minimum of 5 years’ experience in SAP master data management and maintenance in a logistics, FMCG or manufacturing environment.
Excellent knowledge of SAP SD, FI/CO, MM, WM / CRM modules is essential.
Skills and Competencies Leadership Standards
Provide inspirational leadership.
Create a culture of execution.
Display business insight and innovate.
Develop customer service obsession.
Develop commitment through engagement.
Knowledge
SAP ECC (Master Data - Customer, Material, Vendor, Pricing, General Ledger).
Workflow.
Interfaces.
SAP Query.
Microsoft WORD, EXCEL (Advanced), POWERPOINT.
Good understanding and working knowledge of business processes within a logistics / warehousing environment.
Data warehousing solutions and technologies.
Skills
Verbal and written communication.
Computer literacy (see above systems and MS Office skills prerequisite).
Report writing.
Interpersonal.
Relationship management.
Logical thinking.
Analytical thinking.
Presentation.
Project management.
Numeracy.
Organisational awareness.
Attributes
Tolerant of stress and pressure.
Proactive.
Able to work independently.
Attention to detail.
Deadline driven.
Able to plan ahead and manage time.
Able to prioritise.
Innovative and creative.
Able to translate business requirements into data requirements.
Vector Logistics supports the principles of Employment Equity and is committed to building a diverse and inclusive workplace. Preference will be given to candidates from designated groups in line with our Employment Equity Plan.
If you have not heard from us within 3 to 4 weeks after submitting your application, please consider your application unsuccessful on this occasion. We truly appreciate your interest in joining the Vector team and encourage you to stay connected for future opportunities that may align with your skills and career journey.
We look forward to hearing from you!
#J-18808-Ljbffr