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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