Senior Data Testing Lead - AI-Driven QA and Data Validation
Listed on 2026-07-19
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IT/Tech
IT QA Tester / Automation, Data Analyst, Data Engineering
• Analyze data to be tested and/or agent performance (HiTL rates, confidence scores)
• Define CDA testing scenarios, test cases and scorecards based on business priorities
• Propose and innovate testing approaches using deterministic and AI methods
• Generate production test data sets (Golden, representative etc.) to ensure sufficient confidence
• Produce, lead and continuously improve synthetic data for testing in lower environments
• Produce and implement data testing plans in the data environment for milestone roadmap deliveries
Requirements
- 5+ years in Data Testing, QA or Data Engineering
- Strong experience in data regression testing and large-scale data validation
- Experience with AI/LLM evaluation techniques (golden datasets, semantic testing)
- Strong analytical and problem-solving skills
🔍 ATS Optimization Keywords
Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively — a feature exclusive to Job Tailor job listings.
Hard Skills
- data testing
- QA
- data engineering
- data regression testing
- large-scale data validation
- AI evaluation techniques
- LLM evaluation techniques
- synthetic data production
- test case development
- data testing plans
Soft Skills
- analytical skills
- problem-solving skills
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