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

TikTok Pte. Ltd.; Singapore; On-site; SGD 120,000 - 170,000; Full time

Job summary

TikTok Pte. Ltd. in Singapore seeks a Project Management Lead for the AI Data Service and Operations team to own end-to-end delivery of large-scale AI data programs, ensuring quality, progress, cost, and risk across multiple projects.

You will directly lead experienced AI Project Managers, collaborate with cross-functional teams, and drive process standardization, data-driven governance, and AI-enabled productivity while maintaining compliance with internal policies.

Qualifications

• Bachelor’s degree or above.
• 3+ years regional team management experience leading an experienced project management team.
• 5+ years of program/project management with end-to-end delivery in AI data operations (LLM data, AIGC, data annotation/evaluation).
• Strong quality, schedule, risk/change control, and data-driven decision-making.
• Strong cross-functional stakeholder management across regional/global teams.
• Excellent written and spoken English; ability to thrive in fast-paced environments with exposure to challenging content.

Responsibilities

• Lead a portfolio of AI data projects end-to-end, delivering on time, quality, and budget.
• Establish delivery governance: milestones, capacity planning, dependencies, change control, risk mitigation.
• Define and enforce quality standards; drive RCA/CAPA to reduce rework; optimize workflows and metrics.
• Align product, algorithm/model, platform, policy/compliance, and operations on scope and launch readiness.
• Provide clear, data-driven reporting and executive-ready updates; resolve escalations.
• Manage vendor performance via SLAs/KPIs; budget planning and unit economics; oversee cost efficiency.
• Hire, coach, and performance-manage AI project managers; establish delivery standards and cadence.
• Apply AI tooling to improve delivery efficiency and quality in compliance with internal policies.

Skills

Team management

Stakeholder management

Project management

Quality management

Data-driven decision making

English proficiency

Education

Bachelor’s degree or above

Tools

Jira

Asana

Smartsheet

Confluence

Job description

Responsibilities

About the Team The AI Data Service and Operations (ADSO) team is responsible for providing safety and non-safety data annotation services and search operation services for all of the company's international products, which can also help international products build their own data ecological security. The Linguistic Intelligence team specializes in large-scale data delivery to enable both foundation model and product-oriented model development, powering our products and AI research.

We deliver high-quality, high-volume datasets that support multilingual capabilities and the full lifecycle of multimodal model training—from data generation and annotation to continuous iteration and improvement. What will I do?

As the Project Management lead, you will own end-to-end delivery of large-scale AI data programs, with accountability for quality, progress, cost, 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.

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.