Remote Lead: Industrial Digital Transformation

Placements24; Benoni; Hybrid; ZAR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Executive compensation

Bonus potential

Global benefits

Remote work

Job summary

Placements24 seeks a Lead Industrial Engineer to drive digital transformation across global manufacturing and logistics operations. This remote-first role requires strategic thinking, strong leadership, and a proven ability to deliver complex digital projects.

You will shape roadmaps for IoT, AI/ML, automation, and data analytics, mentor distributed teams, and ensure cybersecurity considerations are integrated into every initiative. Global collaboration is essential.

Qualifications

• Ph.D. or Master’s degree in Industrial Engineering, Computer Science, or a related field with a strong focus on digital technologies.
• Minimum of 8 years of experience in industrial engineering, with at least 5 years focused on digital transformation, automation, or smart manufacturing initiatives.
• Proven track record of leading and implementing digital projects in an industrial setting.
• Deep understanding of Industry 4.0 concepts, IoT platforms, cloud computing, and data analytics.

Responsibilities

• Lead the strategy and implementation of digital transformation projects within the industrial engineering domain.
• Identify and evaluate technologies like AI, ML, IoT, and robotics for operations.
• Design and develop digital solutions for process optimization, predictive maintenance, and supply chain visibility.

Skills

Strategic leadership

Remote collaboration

Industrial engineering

Digital transformation

Education

PhD/Master's in IE

Tools

IoT platforms

Cloud computing

Simulation tools

AI/ML tools

Job description

Placements24 seeks a Lead Industrial Engineer to drive digital transformation across global manufacturing and logistics operations. This remote-first role requires strategic thinking, strong leadership, and a proven ability to deliver complex digital projects.

You will shape roadmaps for IoT, AI/ML, automation, and data analytics, mentor distributed teams, and ensure cybersecurity considerations are integrated into every initiative. Global collaboration is essential.