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Job title: Reliability Engineer Location: Beijing Site Main responsibilities Design the predictive strategy for global maintenance plan of the two facilities in a fully digital environment in the program Reliability and digitalization team. As input, take in account impacts of potential failures on the 14 steps of insulin production and its value stream. Collaborate with automation and digital teams for integration of Smart Instrumentation and IoT devices. Contribute to site historian parameterization. Define the advanced diagnostics data to collect. A good knowledge of key parameters on the process and FMEA analysis are to take in account. Implement conditional activities in substitution of systematic activities in maintenance instructions. Consider predictive approach if historic data is available in the monitoring solution. Support of AI tools or data scientists’ analysis is a plus. Build a structured process to manage workorder based on pre-alarming of conditional/predictive monitoring. Take in account planning, scheduling and execution phases through the CMMS system, integer KPIs on costs and technical availability. Integer a continuous improvement loop based on review of “bad actors” equipment and recurrent failure modes to update regularly maintenance strategy and instructions. Internal Lead the transfer management of new plans to local Chinese organization with operational maintenance teams. Take in account local environment for external support and resources. About you List here ideally the must-haves criteria to be successful on the role. Worked more than 5 years in technical positions in industrial sites, including at least one experience in Maintenance on a large-scale production environment. Experience and knowledge of GMP, FDA, and EU guidelines especially data integrity requirements. Experience in working in a large, complex matrixes environment with global processes and governance structures. Soft and technical skills: - Rigorous, organized, factual and results-oriented. - Good general technical knowledge in mechanical and automation, ability to interact with experts, especially instrumentation and digital. - Ability to “speak with data” and data flow management in a 0-paper environment. Experiences with some streaming engines solutions, ERP and CMMS Systems, historian solutions or data lake solutions. - Customer Centricity / Results oriented / Teamwork / Clear thinker. - Act for innovation, initiating new and improved ways of working Education: Master’s degree in industrial engineering domain: Generalist Engineer diploma. Languages: English (Project language), Chinese, German is a plus