Quality Analyst, Gen AI Data Quality

• Location: Gurgaon
• 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: