Customer Quality Digitalization Engineer
Full-time Entry LevelJob Overview
We are seeking a highly analytical, tech-savvy Digital Transformation & Process Optimization Specialist to join our Customer Quality team. In this role, you will bridge the gap between technical engineering, process design, and next-generation technology.
You will analyze our end-to-end customer complaint and claim resolution processes, identify operational bottlenecks, and champion the integration of AI-driven tools (including Gemini Gems and other automation technologies) to drastically improve efficiency, accuracy, and resolution speed.
If you have an engineering mindset, a passion for process engineering, and a desire to shape the future of operational workflows, we want to hear from you.
Key Responsibilities
Process Analysis & Engineering
- Analyze Complex Workflows: Map, evaluate, and diagnose the end-to-end customer complaint and quality claim lifecycle to pinpoint friction points, "ping-pong" communication loops, and operational bottlenecks.
- Technical Case Understanding: Quickly grasp complex, technical product cases to ensure that workflows are designed to support deep forensic and technical investigations.
- Data-Driven Optimization: Establish structured processes to standardize incoming customer requests, ensuring data completeness before cases move downstream.
- KPI Alignment: Drive initiatives specifically targeted at cutting technical decision lead times and eliminating administrative delays.
AI & Technology Integration
- AI Tool Implementation: Act as the primary champion for AI-driven solutions, configuring and deploying tools like Gemini Gems and automated inbox/triage engines to optimize daily operational flows.
- Intelligent Routing & Triage: Help design and refine system logic for automated case triage, ensuring that standard inquiries are streamlined and complex cases are instantly directed to the right technical experts.
- Automated Data Validation: Support the deployment of automated completeness and validation checks (e.g., automated validation of data inputs and initial assessments).
- Continuous Innovation: Proactively identify opportunities to leverage emerging digital tools, keeping our quality operations at the cutting edge of technology.
Stakeholder Collaboration
- Bridge the Gap: Work closely with Customer Quality teams , both administrative and technical teams to translate complex technical findings into structured, easily digestible process workflows.
- Change Management: Guide operational teams through the transition from manual, high-volume email management to streamlined, tech-enabled platforms.
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