AI Senior Quality Manager

We are seeking a highly experienced Senior Quality Manager with deep expertise in Artificial Intelligence data quality operations. The successful candidate will design, lead, and implement a comprehensive quality model that supports and enhances AI-driven program performance across a global organization. This role will oversee a large, internationally distributed quality team and requires proven experience in AI data workflows, global vendor management, and cross-functional collaboration. As a prominent customer-facing position, the Senior Quality Manager must demonstrate exceptional communication skills, a strong commitment to customer satisfaction, and the ability to consistently meet critical delivery timelines.

Responsibilities

• Lead the strategic direction operations for the quality department for a large, highly strategic global program.
• Lead and develop a team of multi-cultural quality professionals to ensure the delivery of quality metrics that align to customer requirements and business objectives.
• Develop and own solutions to establish efficient and effective quality processes and streamline existing processes.
• Participate and lead in the development of new quality processes and quality tools.
• Consistent and focused analysis and reporting of program progress, trends and achievements.
• Proactively monitor progress and risks, resolve issues and initiate corrective action as appropriate.
• Customer facing from a quality and learning perspective - interacting, communicating and partnering in meetings, written communication or any other formats as needed.
• Build effective relationships with internal and external stakeholders to ensure engagement and alignment with quality strategies.
• Ensure the necessary support, interventions and education are in place to enable our global team of raters to deliver best results, in line with program quality metrics.
• Responsible for the quality teams performance appraisals and team development.
• Interviewing, hiring, ensuring team members are inducted and trained to a high standard.
• Travel will be required periodically.

Essential Skills

• Expertise in Artificial Intelligence.
• 5+ years experience in team leadership and customer-facing experience.
• 3+ years experience as a Quality Manager or Operations Manager with large teams.
• 1+ year experience in Human Relevance rating is preferred.
• Bachelor’s degree in related field or equivalent work experience.
• Experience working in a fast-paced, customer-focused environment.
• Excellent leadership, interpersonal and listening skills.
• Excellent written and verbal communication skills and excellent presentation skills.
• A track record of partnering, internally and externally, in the development, implementation and adoption of quality programs.
• Planning and project management skills.
• Strong data analysis skills.
• The ability to find ways of solving or pre-empting problems.
• The ability to adjust to frequent change with a high degree of initiative and drive.

If this opportunity sounds appealing to you, apply now! Only shortlisted candidates will be contacted/interviewed. Kindly attach an updated copy of your CV in English.

About Us

Creating and enhancing the world’s data to enable better AI via human intelligence. We help companies test and improve machine learning models via our global AI Community of 1 million+ annotators and linguists. Our proprietary AI training platform handles all data types (text, images, audio, video, and geo) across 500+ languages and dialects. Our AI Data Solutions vastly enhance AI systems across a range of applications from advanced smart products, to better search results, to expanded speech recognition, to more human-like bot interactions and so much more.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Equal Opportunity Employer Statement

At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity.