Head of Data Quality

About the role

The Head of Data Quality at Snorkel AI is responsible for building and owning the quality system at the heart of our Data-as-a-Service (DaaS) business. Our DaaS business operates a digital data factory where expert human contributors produce customer-specific datasets at scale, akin to a high-mix, engineered-to-order manufacturing line. The role involves designing the end-to-end quality architecture, ensuring quality is embedded throughout the DaaS lifecycle, and driving continuous improvement.

Responsibilities

• Establish Snorkel's quality strategy, standards, and operating model across contributors, datasets, and individual data points.
• Build processes, metrics, and governance mechanisms to enable quality measurement, scaling, and continuous improvement.
• Ensure quality is integrated throughout the DaaS lifecycle and reflected in customer commitments.
• Define standards and operating mechanisms for high-quality outcomes across contributors, datasets, and engagements.
• Partner across Supply, Expert Contributor Experience, Product, and Engineering to operationalize and scale quality.
• Leverage data, automation, and AI-assisted workflows to continuously improve quality, efficiency, and customer outcomes.
• Establish and scale the Quality function, starting as a hands-on builder and evolving the organization, operating model, and team as the business grows.
• Serve as a champion for Snorkel's quality approach with customers, prospects, and industry audiences, positioning quality as a key differentiator for the business.

Requirements

8+ years of experience in quality, operations, program management, or a related field, with a track record of building or significantly redesigning quality systems in complex, human-in-the-loop environments. Experience defining quality standards, measurement frameworks, and operating processes that drive consistent outcomes at scale. Strong analytical and problem-solving skills, including experience using data to measure performance, identify risks, and drive continuous improvement. Demonstrated ability to lead through influence and drive cross-functional initiatives across Product, Engineering, Operations, and business teams. Excellent communication and stakeholder management skills, with the ability to operate effectively from executive discussions through day-to-day execution. Comfortable operating in ambiguity, establishing structure where none exists, and building systems, processes, and teams from the ground up. Experience may come from AI data and evaluation organizations, or from other industries that operate complex quality systems at scale, including manufacturing, life sciences, localization, aerospace, or other highly customized production environments.

Qualifications

Master's degree in a relevant field, or an MBA with an operations or quality focus. Bonus points for experience building or scaling quality programs for AI data, model evaluation, or other human-in-the-loop AI workflows. Familiarity with AI-assisted quality methods, including LLM-as-judge, automated review systems, or other model-assisted approaches. Experience operating in environments with evolving requirements, complex task types, or rapidly changing definitions of quality.

Skills

Strong analytical and problem-solving skills, including experience using data to measure performance, identify risks, and drive continuous improvement. Demonstrated ability to lead through influence and drive cross-functional initiatives across Product, Engineering, Operations, and business teams. Excellent communication and stakeholder management skills, with the ability to operate effectively from executive discussions through day-to-day execution. Comfortable operating in ambiguity, establishing structure where none exists, and building systems, processes, and teams from the ground up. Experience may come from AI data and evaluation organizations, or from other industries that operate complex quality systems at scale, including manufacturing, life sciences, localization, aerospace, or other highly customized production environments.

Benefits

Depending on your work location, the target annual salary base for this position can range from $280,000 to $350,000. All offers include equity compensation in the form of employee stock options.

Pay

Depending on your work location, the target annual salary base for this position can range from $280,000 to $350,000.

Schedule

Not specified.

Equal Opportunity Employer

Snorkel AI is an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.