The Team The mission of Quality and Risk Management (QRM) is to manage the risk in our growing and increasingly complex business to improve financial performance and protect the firm's assets and reputation. The Quality Program team sits within QRM and supports delivery quality by providing objective, timely, and actionable feedback to engagement teams and facilitating the identification of systemic quality issues across Industries and Offering Portfolios. Recruiting for this role ends on 08/22/2026. Work you'll do The Quality Analytics and Enablement Manager plays a pivotal role in supporting the firm's commitment to quality and risk management. Reporting to the Quality Excellence Leader (QEL), this role will drive key components of the Quality Program, focusing on operational execution, risk analytics, continuous improvement, and stakeholder engagement. They will leverage data-driven approaches to identify emerging quality risks, translate insights into action, and support the adoption of Quality and Risk initiatives across the business. Core responsibilities for the role include: Risk Analytics and Insights

• 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
• 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
• 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
• Provide Quality and Risk Leadership with timely, executive-level risk assessments and strategic insights that highlight key exposures and opportunities for strengthening risk posture Stakeholder Engagement
• Keep a pulse on quality objectives and challenges across Quality and Risk teams
• Promote a bi-direction flow of information with the industry Quality Specialists (QS)
• Empower leaders with actionable insights and tools to drive adoption and effectively monitor portfolio health Quality Program Oversight and Continuous Improvement
• Support the daily operations of the Quality Program, ensuring activities are executed smoothly
• Assist in implementing and deploying process improvements based on stakeholder feedback and best practices A successful candidate will possess these skills:
• 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 .

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