Operations

• Lead, coach, and develop a team of program/project managers and human raters, fostering a collaborative, high-performance culture.
• Build and nurture strong relationships with Product, Research, Engineering, and Data Science partners to ensure human data operations are aligned with strategic priorities.
• Own the human annotations budget – overseeing vendor sourcing, contracts, and cost optimization to ensure financial sustainability and alignment with business needs.
• Design and manage end-to-end annotation workflows across evolving ML and GenAI use cases, from early pilots to scalable production systems (using available 3P or 1P tools).
• Balance competing evaluation needs, making clear prioritization decisions to maximize impact across multiple AI initiatives.
• Manage the human data support requests, handling intake, scoping, and resourcing strategy.
• Establish and monitor benchmarks for throughput, quality, cost-efficiency, and turnaround time.
• Pilot and partner with platform teams to integrate automated evaluations into HITL workflows to increase speed, scalability and efficiency.
• Define best practices for tooling, vendor engagement, and human data governance as we grow.
• Act as a strategic partner and internal advisor—helping teams adopt effective human data best practices and methodologies to power product/research insights and decisions.
• Develop playbooks, workflows, and lightweight documentation to ensure knowledge-sharing, repeatability, and scalability.
• Partner with Product, Engineering, and Data Science to measure and improve the human data impact on AI product and model development.

Data Operations Manager, Human Data Operations

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Global Director – Grid Services Operations

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