AI Data Sourcing Lead: Build Scalable Pipelines

Leadingnation; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

Leadingnation is seeking a Data Sourcing Manager to lead end‑to‑end data collection pipelines, identifying data needs and partners to fuel AI and analytics initiatives. The role blends operations, product, and data to build a scalable data ecosystem.

You will own vendor management, ensure data quality, and implement governance standards while collaborating with product, AI research, and engineering teams to meet model training requirements.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Operations, Business, or related field.
• 5+ years of experience in data operations, sourcing, project management, or vendor management within a tech or AI-driven environment.
• Demonstrated ability to own cross-functional programs and deliver measurable outcomes under ambiguity.
• Strong understanding of data pipelines, annotation workflows, and AI/ML data lifecycle management.
• Experience managing third-party data providers, annotation vendors, or crowdsourcing platforms.
• Excellent project management and stakeholder communication skills.
• Familiarity with privacy regulations (e.g. GDPR, CCPA) and data security compliance is a plus.

Responsibilities

• Own and operationalize the data sourcing and collection pipeline across multiple projects and data modalities (text, audio, etc).
• Identify, evaluate, and onboard data partners, suppliers, and vendors, ensuring data quality, coverage, and compliance.
• Collaborate with product, AI research, and engineering teams to define data requirements and acquisition strategies that align with model training needs.
• Build and maintain data governance standards, ensuring ethical, privacy‑compliant, and legally sound data collection practices.
• Develop metrics and dashboards to track data pipeline performance, quality, and throughput.

Job description

Leadingnation is seeking a Data Sourcing Manager to lead end‑to‑end data collection pipelines, identifying data needs and partners to fuel AI and analytics initiatives. The role blends operations, product, and data to build a scalable data ecosystem.

You will own vendor management, ensure data quality, and implement governance standards while collaborating with product, AI research, and engineering teams to meet model training requirements.