AI Data Operations Program Lead

Meta; Richmond (VA); On-site; USD 132,000 - 189,000; Full time

Job summary

Meta is seeking a Program Manager to lead AI data operations, coordinating data requirements, annotation workflows, and governance to support model training, evaluation, and deployment across product teams. You will work with researchers, engineers, product, and operations partners to translate complex data challenges into scalable solutions that align with AI product roadmaps and milestones.

The role emphasizes governance, quality, and the ability to adapt plans to shifting priorities while

Qualifications

• 6+ years of experience in program management, data operations, or technical operations roles supporting AI, ML, or data-driven product development
• or 2+ years of such experience with a Bachelor's degree in Computer Science, Artificial Intelligence, Computer Engineering, Human-Computer Interaction, or a related technical field
• Fundamental understanding of AI/ML model development and the data requirements across the model lifecycle — including training, evaluation, and fine-tuning data needs
• Experience managing cross-functional programs involving data pipelines, data labeling, annotation workflows, or AI training data quality initiatives
• Experience in analyzing operational data and communicating findings and recommendations to technical and non-technical stakeholders at varying levels of leadership
• Experience identifying process inefficiencies and implementing scalable solutions within data or AI operations environments

Responsibilities

• Manage and deliver product data operations programs that support AI model training, evaluation, and deployment pipelines across multiple product teams
• Partner with research, engineering, and product teams to define data requirements, align on quality standards, and prioritize data collection and annotation efforts for AI solutions
• Identify and resolve bottlenecks in data labeling, annotation, and curation workflows to ensure timely delivery of high-quality training datasets
• Break down complex data operations challenges into manageable components, applying systematic analysis to design and implement scalable solutions aligned with AI product roadmaps
• Develop and maintain program documentation including data governance frameworks, workflow specifications, risk registers, and milestone tracking for AI data initiatives
• Engage team leaders and cross-functional stakeholders to build alignment on program direction, surface risks proactively, and drive decisions that unblock data operations work
• Track and communicate program health metrics — including data throughput, quality rates, and delivery timelines — adapting communication style and format to technical and non-technical audiences
• Leverage AI tools and workflow automation to improve the efficiency and quality of data operations processes, sharing learnings to scale adoption across the team
• Contribute to team-level goal setting by synthesizing insights from data operations performance and translating them into actionable recommendations for AI product teams
• Adapt program plans in response to shifting AI product priorities, regulatory requirements, or data availability constraints, maintaining focus on highest-impact deliverables

Skills

Program Management

Data Operations

AI Data Pipelines

Data Labeling

Cross-Functional Collaboration

Stakeholder Communication

Metrics & Reporting

Workflow Automation

Data Governance

Risk Management

Education

Bachelor's degree in CS/AI/related

Master's degree in CS/AI/related

Job description

Meta is seeking a Program Manager to lead AI data operations, coordinating data requirements, annotation workflows, and governance to support model training, evaluation, and deployment across product teams. You will work with researchers, engineers, product, and operations partners to translate complex data challenges into scalable solutions that align with AI product roadmaps and milestones.

The role emphasizes governance, quality, and the ability to adapt plans to shifting priorities while