Senior Manager, Data Quality & Evaluation

About the role

We are seeking a Senior Manager to build and lead the quality foundation for advanced AI data programs in Switzerland. You will define evaluation frameworks, quality standards, and operational processes that ensure reliable, scalable human‑data workflows supporting next‑generation intelligent systems.

Key responsibilities

• Design and manage quality frameworks, standards, acceptance criteria, and performance metrics for AI data and evaluation programs.
• Translate customer requirements into scalable workflows covering data collection, annotation, evaluation, review, calibration, and reporting.
• Identify quality risks early and collaborate with delivery teams to resolve issues affecting timelines or outcomes.
• Build repeatable processes for calibration, QA sampling, adjudication, reviewer performance tracking, and customer reporting.
• Lead quality operations across multilingual evaluation, speech/audio review, transcription, annotation, human‑preference evaluation, expert review, coding evaluation, and AI model assessment.
• Develop rubrics, task instructions, reviewer guidelines, golden datasets, scorecards, and reporting templates.
• Monitor quality indicators such as reviewer agreement, error trends, and root‑cause analysis, turning insights into actionable improvements.
• Coach and develop Quality Managers, Leads, Specialists, and reviewers while promoting a culture of quality ownership and continuous improvement.

Required profile

• 5+ years of experience in quality operations or data operations, preferably in AI or machine‑learning contexts.
• Proven strategic leadership and analytical problem‑solving abilities.
• Hands‑on execution experience in building and scaling quality processes.
• Strong communication skills to collaborate with cross‑functional teams and customers.

Required skills

What we offer

• Opportunity to shape quality strategy for cutting‑edge AI initiatives.
• Leadership role with influence across multiple international programs.
• Collaborative environment with high‑impact customers.