Minimum Requirements:

-Presentable and professional

-Matric / Grade 12

-Relevant Degree or Diploma

-Minimum 8 years relevant experience a must, preferably in planning and/or advanced analytics

-Experienced in data management and advanced analytics a must

-Minimum 3+ years management experience a must

-Strong manufacturing financial background displaying a sound commercial sense, along with a broad understanding across the functional areas of manufacturing and related interdependencies the processes and critical business focus of factory operations

-Able to utilise data and optimisation techniques to maximise profit across the business

-Data management and data engineering skills to enable optimal data process and methodology

-Excellent analytical and abstract reasoning skills, as well as problem solving ability

-Stable employment record and contactable references

-To start as soon as possible


-Manage end to end supply chain to optimise profit for Information, Communication & Technology Solutions & Products provider

-Manage Supply chain analytics team to ensure insights are generated and implemented

-Select, tailor and implement business process improvement methods and tools at programme, project and team level

-Represent SA OPS in customer and supply meetings to manage demand and supply KPIs

-Manage the IBP process and facilitate results with SLT member, Group and key customers

-Ensure that all KPIs, people, processes and technology are aligned to the Supply chain strategy

-Manage Data analysis and reporting

-Establish Supply chain analytics framework that can run continuous scenarios to optimise for profit

-Manage key relationships between procurement, planning, quality, production and customers

-Develop and maintain detailed process maps of key value chain processes to assist with optimisation and simulation

-Create Supply chain analytic Centre of excellence

-Create value utilising: Descriptive-, Diagnostic-, Predictive and Prescriptive analytics.

-Transfer knowledge and insights to all business levels with effective data representation using various BI tools

-Ensure that senior management is aligned to key KPIs

-Govern and manage the IBP process to ensure all processes are linked to the SAOPS operating model and values chain strategy

-Continuous improvement

-Upskill and manage the development of all planning and supply chain resources against set targets

-Drive the data quality, data integrity and data management across the business to enable data to be used as an enterprise asset

-Future Proof Business

-Develop frameworks to identify the value of implementing advanced tools and technologies within the company’s value chain (IOT, Big data, Blockchain, Machine learning, AI)

-Support the creation of LP/MIP capability within the company and create the framework/Tools for data engineering, digital twin, optimisation and simulation

Salary: Negotiable depending on experience

E-mail detailed CV in Word or PDF (not as a link) to oneilc@telkomsa.net and indicate the following in the subject line:

– Reference CR2197; and

– Your monthly gross salary expectation.

(Also forward Reference letters and a recent photograph if possible)


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