Quality Manager

About the role

As a Quality Manager you will define, implement and oversee the quality strategy for our AI‑driven operations, ensuring that project deliverables meet the highest standards of accuracy, reliability and compliance. You will bridge operational execution with strategic improvement using data‑driven insights.

Key responsibilities

• Design and execute comprehensive quality frameworks, including audit protocols, sampling methods and performance scorecards.
• Establish and monitor Quality KPIs and SLAs, identify gaps and drive corrective actions.
• Lead the full “Quality Audit” lifecycle to ensure compliance with internal policies and client requirements.
• Drive continuous‑improvement initiatives such as Lean Six Sigma and Kaizen to streamline processes and reduce errors.
• Use data analytics to diagnose root causes of quality issues and coordinate cross‑functional resolution.
• Maintain up‑to‑date Standard Operating Procedures and ensure documentation accuracy across project lifecycles.
• Provide guidance and mentorship to Quality Analysts and SMEs, and lead training on quality standards and tools.
• Act as primary point of contact for quality escalations, data‑privacy compliance and client calibration sessions.

Required profile

• 7–10+ years of experience in Operations, Quality Assurance or Project Management.
• 3–5+ years in a leadership or managerial role overseeing QA teams.
• Background in AI operations, data annotation, content moderation or similar high‑volume service environments.
• Strong analytical mindset with proven ability to translate complex data into actionable insights.
• Excellent verbal and written communication skills for cross‑team collaboration and client presentations.

Required skills

• Advanced proficiency with data‑visualisation and reporting tools such as Tableau, spreadsheets and presentation software.
• Experience with workflow‑management tools and audit systems.
• Knowledge of Lean Six Sigma or similar process‑improvement methodologies.