AI Data Production Manager

Lifewood Data Technology Ltd.; Kuala Lumpur; On-site; MYR 80,000 - 120,000; Full time

Job summary

A technology firm specializing in AI data management is seeking an AI Data Production Manager. The role involves overseeing end-to-end AI data operations, managing production teams, and ensuring compliance with ISO standards. The ideal candidate will have a degree in a relevant field, 5+ years of experience in production or operations, strong leadership skills, and fluency in Mandarin. This position offers opportunities for continuous improvement and operational excellence.

Qualifications

• 5+ years of experience in production, operations, BPO, or project management.
• Supervisory experience is essential.
• Familiarity with AI data workflows is an advantage.

Responsibilities

• Lead and manage AI data production teams to ensure timely and high-quality delivery.
• Plan and allocate workforce across different AI data streams.
• Ensure compliance with ISO standards and data security protocols.
• Implement SOPs and workflow standardization to increase efficiency.
• Analyze production data and performance dashboards to identify gaps.
• Collaborate with cross-functional departments to resolve operational bottlenecks.
• Train and mentor supervisors and team leads.
• Use reporting tools to track progress and ensure documentation.
• Support onboarding of new AI data projects.
• Drive continuous improvement initiatives.

Skills

Leadership

Communication

Analytical thinking

Decision-making

Problem solving

Process optimization

Fluency in Mandarin

Adaptability to flexible schedules

Education

Degree in Data Science, IT, Engineering, Operations Management, or related field

Tools

Excel

Productivity systems

Dashboards

Job description

Job Description:

The AI Data Production Manager is responsible for overseeing end-to-end AI data operations to support training, validation, and improvement of AI systems. This role manages multiple production teams across various data domains—including text, image, audio, video, metadata, and research data—both locally and overseas. The manager ensures operational excellence through effective workforce planning, process standardization, ISO/data security compliance, and strong leadership. They drive continuous improvement, optimize workflows using data insights, and ensure high-quality deliverables that meet customer and project requirements.

Responsibilities:

1. Lead and manage AI data production teams (local and overseas) to ensure smooth, timely, and high-quality delivery across all data projects.
2. Plan, allocate, and balance workforce across different AI data streams such as data collection, transcription, metadata entry, scanning, data cleaning, image processing, verification, and quality checking.
3. Ensure strict compliance with ISO standards, PDPA/GDPR, data security protocols, confidentiality guidelines, and company operational policies.
4. Implement 6S, SOPs, and workflow standardization to increase efficiency, maintain workplace discipline, and minimize errors.
5. Analyze production data, performance dashboards, and QC reports to identify gaps, reduce waste, improve throughput, and enhance accuracy.
6. Collaborate with cross-functional departments (Project Management, HR, IT, QA, Product/Tools Team, Training) to resolve workflow issues, customer requests, and operational bottlenecks.
7. Train, guide, and mentor supervisors, team leads, and operators, ensuring capability growth and readiness for new and complex AI projects.
8. Use productivity systems, dashboards, and reporting tools to track progress, forecast output, and ensure transparent, accurate documentation.
9. Support onboarding of new AI data projects, including workflow design, pilot test coordination, tool familiarization, and SOP development.
10. Drive continuous improvement initiatives to raise productivity, improve quality, reduce cost per unit, and strengthen overall operational performance.

Qualifications:

1. Degree in Data Science, IT, Engineering, Operations Management, or a related field.
2. At least 5 years of experience in production, operations, BPO, shared services, AI data, or project management; supervisory experience is essential.
3. Strong leadership, communication, analytical thinking, and decision-making abilities.
4. Fluent in Mandarin to effectively coordinate with Mandarin-speaking clients, teams, and overseas counterparts.
5. Familiarity with AI data workflows (e.g., text, image, audio, video, metadata) is an advantage, but training will be provided.
6. Skilled in problem solving, process optimization, and managing fast-changing project requirements.
7. Able to work with flexible schedules depending on project timelines.
8. Competent in using computer systems, dashboards, Excel, and other digital tools for production planning and reporting.
9. Must possess own transport and willing to travel when required.