Global Data Partnerships Lead

Tencent America LLC; Palo Alto (CA); On-site; USD 114,000 - 214,000; Full time

Benefits offered by this job

Medical, dental, vision

Life and disability benefits

401(k) plan

Vacation (15–25 days)

Holidays and sick leave

Job summary

Tencent America LLC in California seeks a Data Partnership Lead to shape data operations and strategy for frontier AI research. You will design end-to-end data acquisition, manage vendor relationships, and own the data pipeline from requirements to production.

This role blends technical depth—assessing training data quality—with operational excellence to scale globally, covering sourcing, licensing, governance, and supplier performance.

Qualifications

• Demonstrated expertise in high-leverage technical environments with a background in TPM, AI Data Operations, Strategic Tech Deals, Data Licensing, or Mgmt Consulting.

Responsibilities

• Execute End-to-End Data Strategy: Translate research roadmaps into global sourcing and supplementation strategies with model research leads.
• Drive Strategic Partnerships: Manage high-value data acquisition with vendors, research networks, and open-source communities, including negotiations.
• Establish Quality & Evaluation Metrics: Define standards for data quality, scarcity, and training utility for external assets.
• Navigate Complex Data Governance: Coordinate licensing, provenance, and anonymization terms with Legal, Privacy, and Security teams under regulations (CCPA/CPRA).
• Scale Data Operations: Build vendor ecosystems, manage SLAs, and track pipelines to accelerate research velocity.

Skills

Tech TPM

AI Data Ops

Data Licensing

Mgmt Consulting

Data Ingestion

Data Compliance

IP Licensing

Job description

Tencent America LLC in California seeks a Data Partnership Lead to shape data operations and strategy for frontier AI research. You will design end-to-end data acquisition, manage vendor relationships, and own the data pipeline from requirements to production.

This role blends technical depth—assessing training data quality—with operational excellence to scale globally, covering sourcing, licensing, governance, and supplier performance.