Data Quality Team Lead

What You’ll Be Doing

• Team Leadership & Cross-functional Coordination
• Hire, lead, coach, and develop a team of Data Quality Specialists, starting with an initial team in Shenzhen, China.
• Set clear expectations, allocate workloads, and ensure consistent, high-quality execution across the team.
• Provide ongoing performance feedback, training, and mentorship to help team members grow in their roles.
• Work closely with Customer Success, Product, and Engineering teams to communicate data quality issues, customer context, and opportunities to improve product performance or operational efficiency.
• Serve as a primary communication bridge between the U.S. and Shenzhen teams, ensuring operational alignment.
• Hands-On Data Quality Work
• Set Up Customer Program Environments:
• Partner closely with global Customer Success teams to prepare customer environments for high-quality data ingestion and anomaly detection.
• Label and Review Data:
• Perform detailed hands-on classification and review of product images to produce training data for AI models and validate model outputs.
• Maintain Quality Standards:
• Adhere to structured guidelines while ensuring that quality control processes are followed consistently across the team.
• Data Reporting:
• Clean, analyze, and summarize customer image data to support defect trend analysis and program ROI reporting.
• Issue Escalation & Process Improvement:
• Identify unusual data patterns, environmental changes (e.g., SKU updates, lighting shifts), and ambiguous cases.
• Ensure timely escalation and develop improvements to workflows and documentation.

What You Have

• 2–4 years of experience in manufacturing, quality inspection, process engineering, or similar roles—ideally within the high-tech electronics industry.
• Prior experience hiring, managing, and leading teams.
• Excellent spoken and written Mandarin and English.
• Meticulous attention to detail and the ability to perform repetitive tasks with consistency and accuracy.
• Strong interpersonal skills and comfort working with global, cross-functional teams.
• Tech-savvy and eager to learn new tools, systems, and processes.
• Ability to learn quickly, follow structured workflows, and apply feedback to improve program results.