• Application Deadline:
• Position: Process Automation Specialist



• Job Type Full Time



• Qualification BA/BSc/HND



• Experience 2 - 5 years



• Location Lagos




• Job Field Manufacturing 
  
  

Responsibilities

• Project Management: Lead and manage digital transformation projects.


• Strategy Development: Develop and implement strategies to harness Industry 4.0 opportunities.


• Portfolio Leadership: Manage a portfolio of digital projects across the value chain.


• Tool Evaluation: Evaluate and select secure, reliable, and scalable tools and technologies.


• AI/ML Integration: Integrate AI/ML solutions for data analysis, pattern recognition, and anomaly detection.


• IIoT Management: Manage IIoT implementations, promote innovation, and collaborate with technology vendors.


• Opportunity Identification: Analyze business processes to uncover opportunities for digital transformation.


• Sustainable Projects: Implement IIoT-based sustainable projects aligned with organizational goals.


• Digital Solutions: Assess processes from a data science perspective and propose digital solutions.


• Coordination: Coordinate with internal stakeholders and technology partners.


• Training Programs: Develop and deliver training programs to enhance team capability.


• Support: Lead user acceptance testing and provide ongoing support.


• Continuous Learning:


• Industry Knowledge: Stay up-to-date with the latest advancements in processes and IT.


• Tool Implementation: Identify and implement new tools to modernize systems.

Qualifications

• BE / BTech, ME / MTech (Computer Science/Information Technology), MCA, IT, ECE, EI, or related IoT/AI/ML specialization.


• 2-5 years of experience in Business Process Transformation, Process *Excellence, or executing digitalization projects for industrial applications and robotics.


• Freshers with proficiency in Python, Java, cloud-based platforms, and data visualization tools are highly desirable.


• Familiarity with RTOS and IIoT hardware, including sensors, controllers, and gateways.


• Strong understanding of data science principles, AI/ML frameworks, and data management.