Erp & Digitalisation Transformation Lead

Schauenburg International; Sudáfrica; A distancia; ZAR 900.000 - 1.200.000; Jornada completa

Descripción de la vacante

Schauenburg International is seeking aRemote Industrial Engineer to lead digital transformation across global operations. This role is primarily remote, within South Africa, driving IoT, AI and advanced analytics to revolutionize manufacturing and supply chain processes.

The ideal candidate combines industrial engineering expertise with a passion for digital innovation and strategic leadership. You will develop business cases, roadmaps and collaborate with IT, data science and operations to

Formación

• Experience leading digital transformation within industrial engineering or manufacturing.
• Strong understanding of IoT, AI, analytics and data-driven operations.
• Ability to develop business cases and roadmaps for digital solutions.

Responsabilidades

• Spearhead the digital transformation strategy for industrial engineering functions, focusing on automation, data analytics, and smart manufacturing.
• Identify and evaluate emerging technologies (IoT, AI, Machine Learning, Big Data) relevant to operational improvements.
• Develop business cases and implementation roadmaps for digital solutions, demonstrating ROI and strategic alignment.
• Collaborate with IT, data science, and operational teams to integrate digital tools and platforms.
• Oversee pilot projects and full-scale deployments of digital technologies, ensuring successful adoption and performance.
• Define data requirements, analytics strategies, and reporting frameworks for optimized decision-making.
• Train and

Conocimientos

Industrial engineering

Digital transformation

IoT

AI

Machine Learning

Big Data

Data analytics

Smart manufacturing

ROI analysis

Descripción del empleo

Showing 155 Erp Digitalisation Transformation Lead jobs in Gauteng

Our client is seeking an innovative and forward-thinking Remote Industrial Engineer to lead digital transformation initiatives across their global operations. This role is primarily remote, allowing you to contribute from anywhere within South Africa while making a significant impact on our operational strategies. You will be responsible for identifying, evaluating, and implementing advanced digital technologies, such as IoT, AI, and advanced analytics, to revolutionize our manufacturing and supply chain processes. This is a unique opportunity to shape the future of our operations by leveraging cutting-edge digital solutions. The ideal candidate is a visionary leader with a strong foundation in industrial engineering and a passion for digital innovation.

About the Role

Our client is seeking an innovative and forward-thinking Remote Industrial Engineer to lead digital transformation initiatives across their global operations. This role is primarily remote, allowing you to contribute from anywhere within South Africa while making a significant impact on our operational strategies. You will be responsible for identifying, evaluating, and implementing advanced digital technologies, such as IoT, AI, and advanced analytics, to revolutionize our manufacturing and supply chain processes. This is a unique opportunity to shape the future of our operations by leveraging cutting-edge digital solutions. The ideal candidate is a visionary leader with a strong foundation in industrial engineering and a passion for digital innovation.

Key Responsibilities

• Spearhead the digital transformation strategy for industrial engineering functions, focusing on automation, data analytics, and smart manufacturing.
• Identify and evaluate emerging technologies (IoT, AI, Machine Learning, Big Data) relevant to operational improvements.
• Develop business cases and implementation roadmaps for digital solutions, demonstrating ROI and strategic alignment.
• Collaborate with IT, data science, and operational teams to integrate digital tools and platforms.
• Oversee pilot projects and full-scale deployments of digital technologies, ensuring successful adoption and performance.
• Define data requirements, analytics strategies, and reporting frameworks for optimized decision-making.
• Train and