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.
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