Welocalize

AIS Quality Manager

Welocalize

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Mid-LevelSenior

About the role

  • The Quality Manager is the squad team member responsible for ensuring Welocalize meets client deliverable acceptance criteria and managing service delivery quality.
  • Engage with customers to scope and define quality requirements and document expectations.
  • Monitor customer Objectives & Key Results (OKRs) and take necessary actions to ensure quality targets are met.
  • Monitor deliverable performance on assigned Program Squads, flag and action areas performing beneath client thresholds.
  • Lead conversations with customers regarding quality, anticipate needs, analyze root causes, perform corrective and preventive actions, and escalate as needed.
  • Adapt existing quality frameworks or escalate the creation of new fit-for-purpose frameworks; maintain client-facing quality documentation.
  • Work with Learning & Development to ensure efficacy and maintenance of training; review performance data linked to learning content.
  • Serve as customer point of contact for quality-related matters and act to ensure quality SLAs are met.
  • Initiate Quality Improvement Plans (QIP), Root Cause Analyses (RCA) or Corrective and Preventive Actions (CAPA); inform Program team if QIP is unsuccessful.
  • Ensure and execute or coordinate regular quality measuring for clients with LQA SLAs and prepare/present quality reporting to clients.
  • Support development of customer/internal initiatives, assess current processes to drive improvements, and train suppliers on customer-specific tools.

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 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 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 or independently as needed.
  • Ability to prioritize ongoing projects based on business needs and urgencies.
  • Excellent communication skills (written and verbal, fluent in English); an additional language at a fluent level 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.
  • Experience carrying out supervisory responsibilities (interviewing, hiring, training, performance management) may be required.