Manager

About the Role

The Audit Analytics - Manager role at EY, within Global Delivery Services, focuses on leading the design and delivery of data analytics solutions for Internal Audit, risk, and controls engagements. This role drives Internal Audit transformation through data analytics, automation, Continuous Controls Monitoring (CCM), AI/GenAI, and modern data technologies. It also involves contributing to business development through solutioning, proposals, RFPs, effort estimation, solution architecture, and commercial discussions.

Key Responsibilities

• Lead end-to-end delivery of audit analytics, from understanding audit objectives and identifying data requirements through development, validation, and presentation of results.
• Drive Internal Audit transformation initiatives by identifying opportunities to embed analytics, automation, AI/GenAI, and technology-enabled approaches across the audit lifecycle.
• Lead solutioning for proposals, RFPs, and RFIs, including understanding requirements, defining the analytics approach, developing solution architecture, estimating effort, and supporting pricing and commercial discussions.
• Translate business, audit, risk, and control requirements into analytical approaches, test logic, KRIs, and exception scenarios.
• Provide technical direction and review across SQL, Python, ETL, Power BI, and Snowflake/Databricks-based analytical solutions.
• Lead data profiling, transformation, reconciliation, and validation activities across large and complex enterprise datasets.
• Design and oversee development of Power BI dashboards and analytical reporting that translate complex findings into clear risk and business insights.
• Partner with Internal Audit, business, technology, and data stakeholders to identify data sources, resolve data challenges, and drive analytics delivery.
• Review analytical logic, outputs, and documentation to ensure accuracy, completeness, scalability, and alignment with audit objectives.
• Identify opportunities for automation, reusable analytics, and Continuous Controls Monitoring (CCM).
• Manage delivery plans, priorities, risks, resources, and stakeholder expectations across multiple analytics initiatives.
• Coach and guide team members on analytics development, risk understanding, and delivery quality.
• Allocate work, provide technical oversight, and ensure teams have the appropriate direction and support to deliver against engagement objectives.

Requirements & Tech Stack

• Strong experience leading Audit Analytics, Risk Analytics, Controls Analytics, or similar data analytics engagements.
• Strong understanding of Internal Audit, risk, and controls concepts, including risk assessment, control testing, KRIs, exception testing, and audit analytics.
• Experience with RFP/RFI responses, solutioning, effort estimation, proposal development, and pricing for analytics, Internal Audit, or risk-related engagements.
• Strong hands-on understanding of SQL, with the ability to design and review complex analytical queries, data transformations, and testing logic.
• Strong hands-on experience with Python for data analysis, transformation, statistical modeling, automation, and development of scalable analytical solutions.
• Strong understanding of ETL, data transformation, data quality, and reconciliation techniques.
• Experience designing and reviewing dashboards and analytical solutions using Power BI.
• Strong experience working with Snowflake and/or Databricks in enterprise data environments.
• Exposure to AI/GenAI solutions and Large Language Models (LLMs), with the ability to identify opportunities for their application across analytics, audit, and risk management engagements.
• Experience driving or contributing to Internal Audit transformation through adoption of analytics, automation, continuous monitoring, and modern data technologies.
• Strong stakeholder management skills, with the ability to communicate analytical approaches, technical concepts, and findings to audit, business, and leadership stakeholders.
• Strong project and team management capabilities, with the ability to manage multiple priorities and guide teams toward high-quality delivery.
• Experience across business and technology processes such as Procure-to-Pay (P2P/PTP), Order-to-Cash (O2C/OTC), Travel & Expense (T&E), ITGC, and SOX controls.
• Experience working with enterprise systems and datasets such as SAP, Oracle, Workday, expense platforms, GRC tools, or other ERP environments.

Qualifications

• An Audit Analytics leader combining strong technical expertise with a sound understanding of Internal Audit, risk, and controls.
• Comfortable leading end-to-end analytics delivery, providing technical direction to teams, and translating complex analytical findings into clear risk and business insights.
• A solution-oriented and transformation mindset, with the ability to identify opportunities for analytics, automation, AI/GenAI, and continuous monitoring across the Internal Audit lifecycle.
• Strong stakeholder management and commercial capabilities to contribute to proposals, RFPs, solutioning, and development of scalable analytics offerings.