Project Director, IIoT, Connectivity & Cloud Platforms

Brief Summary

We are seeking a Project Director who will spearhead the digital transformation initiatives, driving the vision of autonomous manufacturing through the development and deployment of advanced industrial software platforms across global manufacturing operations.

Responsibilities

• Lead and implement the vision for autonomous manufacturing, establishing a global standard for innovation in manufacturing. Develop strategic technology roadmaps and present business cases while ensuring alignment with emerging technologies. Collaborate closely with global teams to capture customer insights, requirements, and use cases. Manage relationships with top management to ensure appropriate tracking of business impact. Oversee compliance and technical support for software development partnerships. Create a culture of teamwork that empowers employees and aligns with company values. Define requirements for scalable deployment of foundation platforms, including IIoT and cloud technologies. Design resilient middleware platforms for global manufacturing support, leveraging major cloud services. Architect and integrate best-in-class AI and MLOps solutions with mobile and IIoT applications. Promote reusable technology capabilities focused on AI and intelligent automation. Collaborate across departments to support large-scale application development and smooth adoption processes.

Requirements

• Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or a closely related field. Over 15 years of experience in industrial connectivity, IIoT platforms, cloud technologies, or digital manufacturing. More than 8 years of experience in leading engineering teams to deliver large-scale technology solutions. Proven experience in implementing global industrial connectivity and middleware platforms across multiple production sites. Expertise in designing cloud-native architectures on platforms such as AWS, Azure, or Google Cloud. In-depth knowledge of MLOps, AI infrastructure, and enterprise integration techniques. Familiarity with edge computing, event-driven architectures, and container technologies. Proficiency in programming languages such as Python, Java, and SQL, alongside modern web technologies. Strong understanding of distributed systems and enterprise analytics, focusing on industrial data integration. Experience with DevSecOps practices and infrastructure as code. Excellent leadership skills with a strategic mindset and the ability to influence executive stakeholders. Demonstrated passion for emerging technologies, particularly in AI, cloud computing, and autonomous manufacturing.