Quality Analyst, Gen AI Data Quality

Quality Assurance Manager

Owns client-specific quality programs, performance metrics, and escalations while leading team development and cross-functional coordination. Shared accountability for client outcomes and team performance with the Ops Manager Key Responsibilities · Set client QA strategies (sampling design, audit methods, acceptance thresholds) and adapt to scope/volume changes.· Run root-cause analyses; drive CAPA plans with owners, timelines, and effectiveness checks.· Plan training & certification for raters/annotators and coordinators; track completion and impact.· Maintain dashboards (throughput, accuracy, productivity, cost) and convert insights into actions.· Manage client escalations; present options, trade-offs, and recovery paths.· Standardize SOPs, templates, and checklists; remove bottlenecks.· Pilot small automations (macros, templates, RPA/API handoffs) with Ops Tech; scale wins.· Coach P1s and C2–C3 on tools, workflows, and QA craft.· Ensure compliance/security across data handling and platform access.

Requirements Education · Bachelor's degree or equivalent experience in Business, Operations, Quality, or Data/Engineering. Experience · 2+ years in quality/ops with hands-on QA and workforce/training coordination.· 1+ years leading people/pods (formal or informal). Skills · Multi-project planning and stakeholder management.· Clear client communications and governance cadence participation.· Strong spreadsheets, PM/task boards, and basic BI; ETL familiarity is a plus.· Capacity planning with vendors; confident escalation/negotiation.· Effective in global, distributed teams. Additional Qualifications · 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 required).· Works independently and manages workflows effectively in a remote setup.· Multilingual ability beyond English. Scope & Autonomy · Leads quality, training, and performance tracks across several projects; independent within guardrails.· Shared accountability for client results and team performance with Ops Manager.