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Data Quality Team Lead
Instrumental Inc
Palo AltoOn-site6mo ago
- Employment
- Full-time
- Seniority
- Lead
About the role
- 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.
- 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.
- 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.
- Technically savvy and eager to learn new tools, systems, and processes.
- Ability to learn quickly, follow structured workflows, and apply feedback to improve program results.
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