Quality Analyst, Gen AI Data Quality

If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact subject Workday Candidate Login When creating your Workday account and entering personal information like name, address, please do not use ALL CAPS. Thank you! NOTICE: For Privacy Policy please review here Job Responsibilities: 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. Addition