Program Manager, Product Data Operations

About the role

For our client, we are seeking a Program Manager, Product Data Operations to join the team of a leader in the Enterprise Technology space. This role will drive cross-functional programs that support AI model training and deployment by ensuring data is delivered with the right quality, timing, and governance. The position sits at the intersection of data workflows, operational execution, and stakeholder alignment, with a strong emphasis on scalable process improvement. You will partner closely with technical and business teams to remove bottlenecks, clarify requirements, and keep program health on track.

Location: Remote - US based candidates only, no visa sponsorship available

Pay

$120,000 – $145,000 annually

Responsibilities

• Manage product data operations programs supporting AI model training and deployment
• Collaborate with teams to define data requirements and quality standards
• Identify and resolve bottlenecks in data workflows to ensure timely dataset delivery
• Break down complex data challenges into manageable components and scalable solutions
• Develop and maintain documentation for data governance and workflow specifications
• Engage stakeholders to align on program direction and mitigate risks
• Track program health metrics and adapt communication for different audiences
• Leverage AI tools to improve data operations efficiency and quality

Qualifications

• 6+ years of experience in program management or data operations for AI/ML, or 2+ years of experience with a relevant Bachelor's degree
• Understanding of AI/ML model development and data lifecycle needs
• Experience managing cross-functional programs with data pipelines and annotation workflows
• Ability to analyze operational data and communicate insights to diverse stakeholders
• Proven track record of identifying process inefficiencies and implementing scalable solutions

Benefits

• Opportunity to work at the forefront of AI technology
• Collaborative environment with cross-functional teams
• Access to cutting-edge AI tools and resources
• Focus on ethical AI practices and responsible data management
• Potential for professional growth and skill development in AI