Supply Chain Optimization Lead

1 week ago

Port Elizabeth, South Africa Aspen Pharma Group Full time

**Overview**
Manages the end-to-end supply chain to optimise profit. Manages the Supply chain analytics team to ensure insights are generated and implemented. Selects, tailors and implements business process improvement methods and tools at programme, project and team level. Represents SA Operations in customer and supply meetings to manage demand and supply KPIs. Manages the IBP process and facilitates results with SLT member, Aspen Group and key customers. Ensures that all KPIs, people, processes and technology are aligned to the Supply chain strategy.

**Responsibilities**

**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 our Business**
- Develop frameworks to identify the value of implementing advanced tools and technologies within the Aspen value chain (IOT, Big data, Blockchain, Machine learning, AI)
- Support the creation of LP/MIP capability within Aspen and create the framework/Tools for data engineering, digital twin, optimisation and simulation

**Job Requirements**

**Background/experience**
- 8+ years’ relevant experience, preferably in planning, or advanced analytics
- Experience in data management and advanced analytics
- Postgraduate degree or diploma in a relevant field
- 3+ years management experience

**Specific job skills**
- 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
- Utilise data and optimisation techniques to maximise profit across the business

**Competencies**
- 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

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