Job Descripstion: * Defining and driving strategy set-up & implementation of data-driven operations (E2E connected operations, real-time data, visibility, analytics, agility, and physical/system automation) * Partnering with the business stakeholders to identify opportunities which will result in better business impacts and values via digital transformation * Driving the digital manufacturing project implementation in Operations, being responsible for preliminary planning & analysis, management of project progress, process definition and/or optimization, training materials preparation and conducting the training to relevant organization/teams/employees * Take leader for maintaining/upgrading digital systems(SAP, MES, PLM, Cussomma etc tools.) in terms of master data flow, configuration, regular training of key users, secondary development, and other necessaries after project closure * Ensuring technology scouting and developments with internal IT and 3rd parties. Building networks with other teams and external stakeholders to learn about new developments, leveraging opportunities, and sharing best practices * Being responsible for coaching stakeholders through digital transformation, guiding and educating the specific team & employees on how to adapt, operate in the digital environment, and build up the competence to extract value from provided digital solutions. Ensuring compliance and governance and responsible usage * Following the global/local footprint of digital transformation with a global/local with focus on Operation relate activities. Participating in varied projects from both local and globalRequirements： * Bachelor's degree or above, major in software engineering, information systems, information science, information management, or a related quantitative field or equivalent work experience is required * 3-5 years of digital project experience, digital smart factory or smart engineering project is preferred * Be familiar with any of C++, C#, Python, SQL, Java, .NET, HTML5, or similar, and at least be able to code with one of these languages. Deep understanding of system servers, networks, and database * Deep understanding of digitalization, big data & data analysis, and other aspects of the manufacturing industry * Be familiar with manufacturing industry-related systems & applications, including PLM, MES, ERP, SAP, SCADA, AR/VR, digital twin, and other software architecture
