QC Team Lead – Budapest
Employer · greehill
Quality inspector
Production supervisor
Business analystFull-timeTemporaryBudapest
As QC Team Lead, you will lead a small, focused team of greehill's QC function, including support. You will ensure that data delivered through our production workflows meets quality standards, project requirements and client expectations. Your primary objective will be to build a scalable, AI-native QC system that allows production volume to grow without a proportional increase in manual quality control.
Tasks
- Lead and develop the three-person QC function, including workload planning, prioritization and performance management.
- Define daily and weekly QC priorities based on project deadlines, production capacity and quality risk.
- Train and coach QC specialists, set clear expectations for quality and productivity, and build resilience through cross-training and documented working practices.
- Ensure that complaints, QC findings and production issues are handled through one consistent quality process.
- Maintain consistent QC practices across locations, projects and production teams.
- Own the end-to-end QC process for greehill's data-production workflows.
- Design and implement an AI-native QC system embedded in the production flow.
- Define automated checks, sampling strategies, acceptance criteria, quality thresholds, quality gates and escalation procedures.
- Use risk-based sampling to focus human review on high-risk and ambiguous cases.
- Define which cases can be accepted automatically, rejected automatically or routed for human review.
- Work with ML and Engineering teams to improve validation rules, issue detection and automated quality checks.
- Establish and maintain QC KPIs, quality dashboards and a consistent defect taxonomy.
- Track error rates, escaped defects, client complaints, completeness, accuracy, rework, rejection rates, review time and automation coverage.
- Analyze QC results to identify trends and root causes.
- Distinguish isolated operator errors from systematic problems in processes, models, tooling or source data.
- Monitor the performance of automated checks, including false acceptance and false rejection.
- Develop and maintain QC SOPs, checklists, quality standards and corrective-action processes.
- Turn QC findings and client complaints into structured feedback for Production, ML, Product and Engineering.
- Work with ML teams to identify model weaknesses and provide structured examples for model improvement.
- Lead root-cause analysis and corrective and preventive actions for recurring quality problems.
- Reduce repetitive manual inspection while maintaining or improving quality.
- Support project teams in defining project-specific quality requirements.
- Monitor quality throughout the lifecycle of high-priority projects and flag risks early.
- Provide final QC input before project delivery and ensure that lessons learned improve future workflows.
Requirements
- 3 years of experience in Quality Control, Quality Assurance, Data Quality, Operations or a related field.
- Proven experience leading a small QC, QA, data-quality or operations team.
- Experience working as a hands-on lead who combines people management with individual delivery.
- Demonstrated success improving measurable quality outcomes in a production environment.
- Experience designing or implementing automated QC, data-validation or exception-handling workflows.
- Practical experience analyzing data with SQL, Python or comparable tools.
- Experience working with large datasets and identifying patterns in quality issues.
- Experience creating and improving SOPs, quality standards and operational processes.
- Experience investigating systemic defects and implementing corrective and preventive actions.
- Ability to prioritize quality issues based on business and client impact.
- Strong communication skills and ability to work across technical and operational teams.