Senior Quality Analyst, AI Data Quality
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Job Responsibilities:
Leads strategic quality planning and cross-program optimization. Drives standardization, process automation, training, and client-focused quality solutions. Joint planning and shared responsibility with the Sr. Ops Manager.Key Responsibilities
Own portfolio-level QA frameworks and rubrics; keep alignment across programs and regions.
Lead automation and tooling roadmap with Ops Tech/Product (templates, scripts, API/RPA pilots).
Run systemic RCAs across programs; set cross-cutting corrective actions with measurable outcomes.
Design enablement programs (bootcamps, certification paths) and evaluate effectiveness.
Champion data quality metrics; define thresholds and guidance for model training/eval tasks.
Lead client/exec reviews on quality; translate insights into roadmap and investments.
Mentor P2/P1; guide C2–C3 growth in quality craft and reporting standards.
Ensure audit readiness and drive continuous improvement culture.
Additional Job Details:
Education
Bachelor’s degree or equivalent experience in Business, Operations, Quality, or Data/Engineering.
Experience
2–3 years in quality/ops; 2+ years leading managers/pods or complex workstreams.
Skills
Portfolio planning and governance; financial awareness.
Executive-ready communication; strong negotiation.
Advanced analysis (spreadsheets, BI); SQL/ETL familiarity a plus.
Change leadership, standardization, and automation at scale.
Additional Qualifications (P1+)
Near-native English with strong writing and editorial skills.
Hands-on with generative AI tools (text/voice/video).
Background in QA testing, rubric design, or AI safety/ethics evaluation.
Familiarity with data-annotation platforms and model-evaluation tools.
Ability to interpret code/datasets/workflows at a conceptual level (no coding ).
Works independently and manages workflows effectively in a remote setup.
Multilingual ability beyond English.
Scope & Autonomy
Owns outcomes for a portfolio of quality programs; sets methods and standards.
Works independently; escalates only non-standard/high-impact items.
Joint planning with Sr. Ops Manager for quality and client outcomes.