Head of Quality, AI Data Services

Lion People Global

Head of Quality for AI Data Services overseeing quality strategy and execution. Engaging teams and customers on complex quality topics.

Posted 7/15/2026full-timeRemote • 🇪🇺 Anywhere in EuropeLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quality strategy and governance for AI Data Services, with a focus on building and standardizing QA frameworks, conducting root cause analysis, and developing continuous improvement processes. Proven ability to partner with cross-functional teams to translate quality expectations into operational practices.

Highest-signal resume keywords

Senior Quality Leadership ExperienceQA Framework Design and OperationQuality Scoring and Audit DesignCustomer-Facing Quality SupportDocumentation and Process-Building Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

QA FrameworksRoot Cause AnalysisError ClassificationContinuous Improvement ProcessesQuality GovernanceQuality DashboardsSampling ApproachesAcceptance CriteriaCalibration MaterialsQuality Performance Metrics

Soft Skills

Analytical SkillsOperational SkillsCommunication SkillsMentoring Skills

Tools & Technologies

QA ToolingWorkflow PlatformsOperational Reporting

Industry Keywords

AI Data ServicesTranscriptionData AnnotationModel EvaluationBPOManaged ServicesMultilingual AISpeech/Audio AITranscription QAData Quality

About the role

Key responsibilities & impact

Own the quality strategy, operating model, and execution plan for AI Data Services.
Build and standardize QA frameworks, audit models, scorecards, sampling approaches, and acceptance criteria.
Define critical, major, and minor error classifications across different data workflows.
Lead quality governance for strategic customer programs, including reporting, calibration, escalations, and remediation.
Partner with Operations, Program Management, Supply Chain, Solutions, and Sales to ensure quality requirements are clearly understood and operationally feasible.
Develop root cause analysis, corrective action, and continuous improvement processes.
Build quality dashboards, customer-facing reporting, and internal quality performance views.
Support the creation of SOPs, reviewer guidelines, calibration materials, and QA documentation.
Help improve delivery consistency, reduce rework, and strengthen customer confidence.
Mentor and guide QA managers, auditors, reviewers, and quality specialists as the team scales.

Requirements

What you’ll need

Senior quality leadership experience in AI data, transcription, data annotation, model evaluation, technical services, BPO, or managed services.
Experience designing and operating QA frameworks for complex human-in-the-loop workflows.
Strong understanding of quality scoring, audit design, sampling, calibration, and remediation.
Experience working with customer-facing teams and supporting quality escalations.
Strong analytical, operational, and communication skills.
Ability to translate customer quality expectations into practical internal processes.
Experience partnering across Operations, Program Management, Supply Chain, Solutions, and leadership teams.
Strong documentation and process-building skills.
Nice to have Experience with AI data services, LLM evaluation, RLHF, expert review, multilingual AI, speech/audio AI, transcription QA, or data quality.
Experience managing quality for strategic enterprise or frontier AI customers.
Experience building quality functions in a scaling or developing business unit.
Experience with dashboards, QA tooling, workflow platforms, or operational reporting.

Benefits

Comp & perks

Health insurance
Professional development opportunities