Project Management Lead - AI Data Service Operations (Linguistic Intelligence)

st, and risk across multiple concurrent projects. You will directly lead experienced AI Project Managers and operate through cross-functional, matrix teams (annotation/delivery teams do not report to you) to ensure predictable, high-quality data delivery. You will also drive operational excellence through process standardization, data-driven governance, and AI-enabled productivity.

Responsibilities

1. Program & Delivery Leadership

• Lead a portfolio of AI data projects end-to-end, ensuring delivery on time, on quality, and within budget.
• Establish delivery governance: milestones, capacity planning, dependency management, change control, and risk mitigation.

2. Quality & Process Excellence

• Define and enforce quality standards (sampling/audits, acceptance criteria, defect taxonomy) and drive RCA/CAPA to reduce rework.
• Partner with stakeholders to improve guidelines and SOPs; continuously optimize workflows and operational metrics.

3. Stakeholder & Cross-Functional Management

• Align product, algorithm/model, platform, policy/compliance, and operations teams on scope, success criteria, trade-offs, and launch readiness.
• Provide clear, data-driven reporting and executive-ready updates; resolve escalations and priority conflicts.

4. Vendor & Cost Management (as applicable)

• Manage vendor performance via SLAs/KPIs, capacity planning, and quality governance; drive continuous improvement and cost efficiency.
• Own or influence budget planning/tracking and unit economics (cost per unit, throughput, cycle time).

5. People Leadership

• Hire, coach, and performance-manage experienced AI project managers; set delivery standards, templates, and operating cadence.
• Ensure consistent project management practices and a strong delivery culture in a high-tempo environment.

6. AI-Enabled Productivity: Apply AI tooling to improve delivery efficiency and quality (e.g., documentation, guideline iteration, quality support, analytics automation) in compliance with internal policies.

Qualifications

Minimum Qualifications

• Bachelor's degree or above.
• At least 3 years of regional team management experience along with proven experience in leading an experienced project management team.
• At least 5 years of program/project management experience, along with proven end-to-end delivery experience in at least one of: LLM data programs, AIGC, data annotation/labeling, evaluation datasets, or related AI data operations.
• Demonstrated strength in quality management, schedule management, risk/change control, and data-driven decision-making.
• Strong cross-functional stakeholder management experience across regional/global teams.
• Excellent proficiency in both written and spoken English
• Strong ability to perform in a fast-paced environment with frequent context switching; resilience in roles that may include exposure to harmful content.

Preferred Qualifications

• Familiarity with project management methodologies and tools (e.g., Agile/Waterfall/Hybrid; Jira/Asana/Smartsheet/Confluence, etc.).
• Strong vendor management experience (SOW/SLA/KPI management, performance governance).
• Hands-on experience improving operations with automation and AI tools.
• Proven experience designing and deploying an AI agent (e.g., for workflow automation, QA support, triage, reporting, or knowledge management) with measurable impact.