Project Management Executive (Data Labelling)

> Data Wow Co., Ltd.

  • Pathum Wan, Thailand (Hybrid)
  • Full-time

Workplace: hybrid

Department: Data Science

Description

1\. Project Lifecycle & Operations Management

Requirement Gathering & Planning:

Collect, evaluate, and synthesize complex project requirements into clear, actionable operational execution plans in alignment with internal stakeholder objectives.

Resource & Timeline Governance:

Oversee end-to-end project schedules, financial allocations, team quality benchmarks, and manpower distribution to guarantee on-time deliverable execution.

Cross-Functional Synergy:

Serve as a central communication bridge to facilitate seamless coordination between content moderation teams, quality assurance leads, and internal business departments.

Documentation & Reporting:

Maintain accurate project documentation, audit trails, and periodic executive progress reports to track operational milestones.

Client Satisfaction Strategy:

Formulate and deploy client-centric strategies designed to elevate satisfaction metrics, operational transparency, and long-term retention.

2\. Contractor & Content Moderator Management

Talent Acquisition & Onboarding:

Assess project-specific staffing requirements, design targeted recruitment strategies, conduct structured interviews, and manage background verification processes to onboard qualified contractor talent.

Workflow Integration:

Direct the complete onboarding lifecycle - including corporate orientations, policy training, and seamless integration into active project workflows.

Performance Optimization & Quality Control:

Continuously audit contractor outputs against established SLAs, enforce operational guidelines, and execute multi-tiered Quality Assurance (QA) protocols to maintain high accuracy and data consistency.

Feedback & Mentorship:

Provide ongoing operational support, conduct regular performance reviews, and deliver constructive feedback loops to optimize overall workforce efficiency.

3\. Continuous Improvement & Innovation

Process Optimization:

Audit existing data labeling and content moderation workflows to diagnose operational bottlenecks and implement systemic process enhancements.

Industry Alignment:

Stay informed on global content moderation frameworks, AI-assisted labeling trends, and industry best practices to introduce scalable, innovative operational solutions.

Requirements

  • Bachelor's or higher degree in Project Management, Business Administration, Data Analytics, or a related discipline.
  • Minimum of 1+ years of experience in project management, operations coordination, data analysis, or a closely related functional field.
  • Strong analytical capabilities with a robust understanding of operational statistics, data interpretation, and workflow metrics.
  • Advanced expertise in


MS Excel

(complex functions, data modeling) and data analysis tools. Direct proficiency in enterprise project management platforms (e.g., JIRA, Asana, Trello) is considered a distinct advantage.

  • Exceptional attention to detail, high reliability, and a proven track record of rapid learning agility and adaptability in fast-paced environments.
  • Superior verbal and written communication skills in English, with a demonstrated ability to articulate complex operational concepts, technical guidelines, and project metrics clearly to diverse internal and external stakeholders.


Benefits

Hybrid Working

options with

Flexible Working Hours

Your Choice of Gear:

Mac or Windows? You pick your preferred work equipment.

  • Comprehensive Group Health Insurance.
  • Monthly GrabFood and Grab Transportation credits.
  • Job-related training courses, plus


Free Language Courses

and certificate fee coverage.

  • 10+ days of annual leave.
  • Free snacks and drinks available at the office.


Apply

[Apply at Data Wow Co., Ltd.](https://apply.workable.com/datawow/j/F7A2F97FEC/apply)

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āļĢāđˆāļ§āļĄāļ‡āļēāļ™āļāļąāļšāđ€āļĢāļē:

Data Wow is a Thai data and AI consultancy where engineers and data scientists ship real products for enterprise clients.

  • Modern stack: cloud data platforms, MLOps, LLM and computer vision projects across industries
  • Learning culture: internal t ...
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