Lead, Data Quality - Partnerships

6+ years in data quality, data labeling operations, vendor or partner management, or ML data operations, with end-to-end ownership of vendor relationships or major workstreams.

Direct experience selecting, contracting, and managing external data vendors, including defining and enforcing SLAs.

A track record negotiating commercial terms (pricing, SOWs, capacity) and running vendor business reviews.

Experience setting quality standards, acceptance criteria, and audit or calibration processes that external teams executed against.

Comfort working with engineering and ML stakeholders to translate technical requirements into operational guidance.

Leadership across people you both do and do not directly manage, including coordinators running work on your vendors.

Own the full external vendor portfolio for Data Quality: sourcing, evaluation, onboarding, and offboarding of data labeling and review partners.

Negotiate commercial terms, statements of work, and contracts, and manage pricing, budgets, and surge capacity across vendors.

Set and enforce SLAs and acceptance criteria; hold every vendor to the same golden set and audit bar as the in-house team.

Serve as the senior owner when a project rotates to external support, directing the Project Coordinators running that work.

Build and run the vendor scorecard: throughput, quality, inter-annotator agreement, and SLA adherence, reviewed in regular business reviews.

Stand up calibration exercises and golden set checks with each vendor so external output matches internal standards.