Overview We are seeking a highly skilled professional to lead manufacturing digitalization initiatives and drive the adoption of Industry 4.0 and Industrial IoT technologies. This role focuses on improving operational efficiency, enabling data-driven decision-making, and supporting smart factory transformation across production environments. Key Responsibilities
Serve as the primary point of contact for manufacturing digitalization initiatives.
Lead end-to-end project management for complex digital and automation projects, ensuring delivery on time, within budget, and aligned with business objectives.
Establish and maintain project governance, managing stakeholders, timelines, resources, and deliverables.
Support cross-functional transformation projects across manufacturing operations.
Advise production facilities on implementing digital solutions in areas such as Industrial IoT (IIoT) and Industry 4.0.
Develop business cases, including ROI calculations, KPI definition, and performance improvement tracking.
Collaborate with engineering, IT, and operations teams to align digitalization strategies.
Drive the development and communication of Industry 4.0 strategies and initiatives.
Support and coordinate a virtual team of digitalization specialists, fostering knowledge sharing and transparency.
Identify and promote innovative IoT solutions that create measurable business value.
Build strong relationships with regional and global stakeholders at all levels.
Qualifications
Bachelor s degree in Engineering or a related field required;Master s degree preferred.
Minimum of 5 years of manufacturing experience in automotive, mechatronics, or related industries.
Experience with manufacturing processes such as injection molding, machining, forming, or assembly.
Hands-on experience with Automated Guided Vehicles (AGVs) is preferred.
Strong knowledge of PLC systems (e.G., Siemens, KUKA, Mitsubishi, Allen-Bradley).
Familiarity with industrial communication protocols such as OPC-UA, MQTT, and Profibus/Profinet.
Practical understanding of software technologies (e.G., SAP UI5, HTML5, or similar).
Experience integrating machine data with systems such as MES, traceability, quality, logistics, or remote services.
Proven ability to manage projects and work effectively across cross-functional teams