Description
We are looking for a Quality Manager who is the squad team member on a squad(s) that is responsible for ensuring that we meet client deliverable acceptance criteria. Performance includes, but is not limited to adherence to all client and project specific requirements, diversity of token in data delivered, and defect-free deliverables. The role is managing service delivery quality to the client or managing tasks or initiatives. This role is responsible for engaging with the customer to scope, and define quality requirements and document expectations and working with production to ensure such requirements can be met. As part of ensuring adequate performance, the Quality Manager will monitor customer Objectives & Key Results (OKRs) and take necessary actions to ensure quality targets are met.
Some of the main responsibilities are to:
- Monitor deliverable performance on accounts managed by Program Squad(s) on which they are assigned. Flag and action areas of delivery that are performing beneath client thresholds.
- Lead conversations with customers regarding quality while anticipating their needs, analyzing root causes, performing corrective and preventive actions, and escalation matters while maintaining client-facing quality-relevant documentation relating to language quality.
- Adapt existing quality frameworks to ensure they are able to satisfy customer needs. Escalate to leadership where existing frameworks are not fit for purpose and influence the creation of new, fit-for-purpose quality frameworks.
- Work with Learning and Development team to ensure efficacy and maintenance of all available training, regularly reviewing performance data linked to learning content.
- Customer point of contact for all quality-related matters.
Requirements
- Proven experience in fast-paced, client-centric, data-centric environments.
- Experience and proven track record in data structures, queries, and analysis.
- Knows well the principles and practices used withinQuality.
- Excellent communication skills with the ability to present structured arguments to diverse audiences, incl. colleagues, customers and vendors, and influence others.
- Knowledge of the AI data services industry and a keen interest in its technology, process, competitive landscape, and emerging trends.
- Strong in problem-solving with attention to time constraints while being accountable for the quality of the deliverables.
- Flexible attitude with the ability to manage multiple priorities in a fast-paced, time-sensitive, and deadline-driven work environment.
- Problem-solving mindset that can proactively assess and mitigate risk. Creative thinking in identifying areas for improvement is desirable.
Benefits
Attractive Benefits
Ver más vacantes
