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 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

Qualifications:

Required:

• Bachelor's degree in business, analytics, finance, risk management, operations, information systems, or a related field
• 6+ years of relevant experience in analytics, risk management, quality, operations, program management, or a related field
• 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)
• Ability to travel up to 25%, on average, based on the work you do and the clients and industries/sectors you serve.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

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

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to: skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 - $229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Benefits

At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.