Master Data Manager

Master Data Manager

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 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 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 improved processes
that enhance data accuracy, processing speed, and responsiveness to
business needs.Continuously scan the technology landscape for
innovations in data management (e.g. AI, Machine Learning, predictive
analytics),and evaluate their relevance and application within the
organisation.Collaborate with IT and data science teams to
explore AI-enabled solutions such as:
Duplicate detection and automated cleansing; Intelligent data enrichment and classification; Predictive data suggestions during entry or
approval; Natural Language Processing (NLP) to
streamline data request submissions.Act as a champion for data-driven
decision-making by promoting a culture of ownership, data integrity, and
continuous improvement across departments.Ensure all improvements are scalable and
aligned with enterprise architecture principles, enabling consistent
standards across all business units and systems.

Governance, Risk and Compliance

Ensure master data compliance with internal
audit requirements and external regulations such as POPIA and GDPR.Establish governance frameworks for master data
ownership, stewardship, and accountability across business units.Define and manage role-based access controls
for 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 to
identify and close compliance gaps in master data processes.Support data privacy, retention, and protection
policies as they relate to master data.

Technical Expertise

Act as the subject matter expert (SME) for
master data, providing strategic and technical guidance to business and
IT leadership.Stay current on SAP developments (especially
ECC6 and potential S/4HANA migration paths), tools, and integration
technologies relevant to master data.

Staff Management

Lead, coach, and develop a team of master data
professionals, ensuring alignment with legislative requirements and
company policies.Identify and train master data representatives
across business functions to support decentralised data maintenance.Monitor team performance and provide ongoing
feedback, support, and development opportunities.Ensure resource availability and adherence to
service levels through effective scheduling, time management, and
workload allocation.Drive succession planning, talent development,
and retention initiatives.Foster a culture of continuous improvement,
accountability, and collaboration through regular team engagement and
communication.Ensure team compliance with master data
standards to maintain organisational information and financial
integrity.Promote employment equity and diversity within
the 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

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