• 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). • 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.