Lead Program Manager – Gen AI Data Operations

Role Overview

• Owns quality assurance, workforce planning, and training programs for AI training data delivery on multiple small projects or one large strategic project
• Improves performance, compliance, and processes across multiple projects
• Partners with the Senior Quality Analyst to share accountability for client outcomes and team performance
• Monitor QA plans in partnership with Quality team (sampling, audits, acceptance criteria)
• Track risks of defects, lead corrective actions, and prevent recurrences
• Forecast capacity needs; schedule shifts and handoffs; align vendors and internal teams to meet volume and turnaround targets
• Build and deliver training and certification for raters/annotators and coordinators; update materials as guidelines change
• Maintain dashboards for throughput, quality, productivity, and cost; turn data into clear actions for improvement
• Ensure policy adherence on data handling, privacy, safety, and platform access; support audits and remediation
• Standardize SOPs and checklists; remove bottlenecks; pilot small changes that improve speed, quality, or cost
• Join client reviews with the Quality Manager and PMs; explain quality results, risks, and next steps
• Coach Coordinators (C2–C3) and Associate PMs (P1) on QA, workflows, and tools; support onboarding and skills growth
• Manage employee attendance, conduct individual performance reviews and support contract renewals
• Keep risk/issue logs; manage change requests that impact quality, capacity, or training; escalate high-impact items with options

Requirements

• Bachelor’s degree or equivalent experience in business, data/operations, engineering, or related fields
• 2+ years in project/operations delivery with hands-on QA and workforce planning (AI data, content review, labeling/annotation, or adjacent domains)
• Experience running trainings and coordinating multi-team delivery
• Clear communication with clients and internal partners; confident in reviews and governance forums
• Solid use of spreadsheets, PM/task boards, and basic BI; familiarity with ETL concepts is a plus
• Practical QA know-how (sampling, audits, acceptance criteria) and continuous-improvement mindset
• Capacity planning, scheduling, and vendor coordination
• Coaching for C2–C3 Coordinators and P1s; gives day-to-day guidance
• Confident escalation and negotiation to resolve risks, issues, and scope questions
• Comfortable working with global, distributed teams (intermediate to advanced English)

Tech Stack

• ETL

Benefits

• Health insurance
• Professional development opportunities