China Telecom Global
云网监控调度工程师
Skills
11 days ago
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Important information
Contract type:
Permanent
Work mode:
Onsite
Published on:
13 October 2026
What they need
About the role
This role is responsible for post-sales process management, root cause analysis, data governance, and operational excellence. You will establish standardized workflows, drive continuous improvement through data-driven insights, and explore AI applications in operations and fault handling.
Key responsibilities
- Develop, optimize, and manage post-sales processes and standards to ensure consistency across all operational stages
- Lead in-depth analysis of faults and issues, produce root cause analysis reports, and drive corrective actions to closure
- Manage post-sales data governance, establish cross-system data auditing and quality control mechanisms to ensure accuracy and compliance
- Oversee cross-system review of post-sales business materials, standardize and automate review processes to reduce manual effort and improve delivery quality
- Create operational documentation including maintenance standards, on-call guidelines, and operational manuals to establish a standardized knowledge management system
- Explore AI applicability across post-sales service processes and develop skills to apply AI in operational analysis and fault handling
- Manage and monitor post-sales operational metrics, conduct in-depth analysis across the full fault resolution lifecycle, and drive continuous improvement to ensure service stability
About you
- 3+ years of hands-on experience in telecommunications network operations, IT systems operations, or related fields
- Experience in post-sales support or operations analysis is preferred
- Familiarity with post-sales and business processes, understanding of operations support system architecture and work order management mechanisms
- Data analysis capability with proficiency in Excel, SQL, and similar tools; technical documentation writing ability with capacity to independently create maintenance standards and guidelines
- Understanding of AI applications in operations and data analysis
- Systems thinking and logical analysis capability to quickly identify and drive problem resolution; ability to manage high-pressure multi-threaded work with priority judgment
- Self-motivated learner with strong sense of responsibility for operational compliance and data quality
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