Eco Governance Project Manager - AI Data Service Operations

improvement and process optimisation, ensuring that project targets and timelines are achieved.

Responsibilities

• Lead data annotation projects: manage the end-to-end execution of multiple projects, ensuring performance targets and SLAs are met.
• Serve as the primary stakeholder interface for key internal requestors: translate product or business needs into clear labeling project requirements, align on targets, support workforce management planning, and develop delivery plans.
• Drive delivery governance and cross-functional collaboration: establish operating rhythms, execution reviews, and escalation frameworks across QA, vendor, and business teams.
• Leverage data to manage performance: monitor dashboards, detect anomalies, and perform data and root cause analysis to maintain quality and efficiency.
• Lead continuous improvement efforts: identify process gaps, design and implement workflow optimizations, and partner with tooling teams to drive automation and scalability.
• Risk and change management: proactively identify delivery risks, propose mitigation plans, and lead through operational transitions.
• Deliver strategic reporting: synthesize project data into insights and recommendations for leadership and cross-functional partners.

Qualifications

Minimum Qualification(s)

• 5 years of project/program management experience in AI data annotation environments, large-scale data operations, content moderation, or related fields.
• Proficiency in both spoken and written Mandarin and English is required. Mandarin is essential as the projects you will handle involve Mandarin-language content, while English serves as the primary working language.
• Track record of driving successful project and operational execution with cross-functional teams and third-party vendor partners.
• Strong data skills (Excel, SQL, dashboard development) and experience with using data-driven approaches to analyse performance and conduct root cause analysis.
• Experience in driving continuous operational quality optimization and process improvement.
• Ability to independently learn and own multiple projects/work streams, while being able to prioritize tasks and timelines.
• Excellent stakeholder management and communication skills, with proven experience collaborating with regional or global teams in a fast-paced environment.

Preferred Qualification(s)

• Familiarity with model/LLM training and evaluation.
• Experience working with or implementing machine labeling or hybrid (machine-human) labeling workflows.
• Certification in Project Management (PMP, Agile, or Lean Six Sigma).