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 [email protected] 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. 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. Additional Job Details: Originally posted on Himalayas