AIS Quality Manager

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Job Responsibilities:

The Quality Manager is the squad team member on a squad(s) that is responsible for ensuring that Welocalize meets 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.

MAIN DUTIES

The following is a non-exhaustive list of responsibilities and areas of ownership for this role:

• 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 escalating matters while maintaining client-facing quality-relevant documentation relating to language quality.
• Adapt existing quality frameworks to ensure they can 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 the 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.
• Action when necessary to ensure quality SLA (client or Welocalize) is being met.
• Monitor and flag deliverables performing beneath defined thresholds.
• Initiate Quality Improvement Plan (QIP), RCAs or CAPAs, as needed. If QIP is deemed unsuccessful, inform the Program team accordingly.
• Ensure and execute and/or coordinate regular quality measuring for clients with LQA SLAs/commitments.
• Regularly prepare and present quality reporting to clients as needed.
• Support the development of customer initiatives, internal initiatives, or new processes. Assess current processes to drive process improvements.
• Where required, train suppliers on customer and customer-specific tools.

REQUIREMENTS

Experience

• 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 within Quality.
• 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.
• Solves standard situations independently and in line with company policies and procedures.
• Can work within a team, contributing to the team's success, or work independently as needed.
• Ability to prioritize ongoing projects based on business needs and urgencies that can arise.
• Excellent communication skills (written and verbal, fluent in English). An additional language at a fluent level (both verbal & written) is preferred.
• Experience with partner and customer direct communication would be an advantage.
• Experience in Agile Methodology and/or Lean Six Sigma is an advantage.

Supervisory Responsibilities:

• Carries out supervisory responsibilities in accordance with the organization's policies and applicable laws.
• The role may manage a team or serve as a contact for external resources.
• Responsibilities may include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems.

KEY COMPETENCIES REQUIRED FOR THIS ROLE

• Is a strong Listener and effective Collaborator.
• Understands the importance of Objective & Key Results (OKRs) and is Results Orientated
• Actively drives Performance and Delivers results.
• Proactively develops clear solutions to complex problems

Additional Job Details:

Originally posted on Himalayas

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