Qrm - Quality Analytics and Enablement Manager - C_mat

This role focuses on leveraging data science, predictive modeling, and AI tools to identify, quantify, and manage delivery risks within client engagements. The manager will design and enhance analytic tools and dashboards, integrate advanced analytics capabilities, and analyze multi-source risk data to provide actionable insights for Quality and Risk Leadership. The role requires experience in machine learning, data wrangling, and data visualization, with a strong emphasis on translating model outputs into business decisions and stakeholder engagement.

What you'd actually do

  1. Drive the design, enhancement, and stewardship of advanced analytic tools, interactive dashboards, and dynamic methodologies that enable the proactive identification, quantification, and escalation of potential delivery risks across client engagements
  2. Lead the integration of leading analytics capabilities - such as data science, predictive modeling, decision intelligence, and data storytelling - to support informed decision-making and early intervention
  3. Conduct comprehensive analysis of multi-source risk data to detect underlying trends, anomaly drivers, and emerging risk patterns within client service delivery. Translate complex data findings into clear, actionable intelligence for Quality and Risk team members
  4. Provide Quality and Risk Leadership with timely, executive-level risk assessments and strategic insights that highlight key exposures and opportunities for strengthening risk posture

Skills

Required

  • Machine learning and predictive modeling experience building and validating supervised and unsupervised models and translating model outputs into business decisions
  • Data wrangling and engineering fluency, with the ability to source, clean, transform, and structure large and messy datasets from multiple sources in preparation for analysis and modeling
  • Data visualization and storytelling, with the ability to design intuitive dashboards and visual narratives that communicate complex findings clearly to both technical and non-technical audiences
  • Stakeholder engagement and cross-functional collaboration, with the ability to build strong working relationships, promote collaboration, and enable clear information sharing across Quality, Risk, and business stakeholders
  • Analytical problem-solving and business insight, with the ability to understand the business context behind data to define hypotheses, structure analyses, refine insights, and draw actionable recommendations
  • Experience with analytics and reporting tools (e.g., Power BI, Tableau, Alteryx, SQL, Python, DataRobot, advanced Excel) and GenAI / AI tools such as Claude AI (Anthropic)

Nice to have

  • Relevant certifications in analytics, project management, or process improvement are a plus

What the JD emphasized

  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Other signals

  • Leverage data-driven approaches to identify emerging quality risks
  • Drive the design, enhancement, and stewardship of advanced analytic tools, interactive dashboards, and dynamic methodologies
  • Lead the integration of leading analytics capabilities - such as data science, predictive modeling, decision intelligence, and data storytelling