Advance your career with EY by joining our Audit Analytics team as a Manager. This role offers a unique opportunity to shape the future of Internal Audit through innovative data analytics, automation, and emerging technologies like AI/GenAI. You will play a pivotal role in designing and implementing scalable analytical solutions that address complex risk and control objectives. Join a global network of diverse teams and contribute to building a better working world.

Lead the comprehensive delivery of audit analytics projects, from initial objective alignment and data requirement gathering to solution development, validation, and presentation of findings. Drive transformation within Internal Audit by identifying and embedding analytics, automation, and AI/GenAI across the audit lifecycle. Spearhead solutioning for proposals, RFPs, and RFIs, encompassing requirement analysis, approach definition, architecture design, effort estimation, and commercial discussions.

Translate business and audit requirements into robust analytical approaches, test logic, and Key Risk Indicators (KRIs). Provide technical leadership and oversight for solutions built using SQL, Python, ETL, Power BI, Snowflake, and Databricks. Oversee data profiling, transformation, reconciliation, and validation for large, complex datasets. Design and guide the development of insightful Power BI dashboards and reports that translate complex data into clear business and risk insights. Collaborate closely with Internal Audit, business, technology, and data stakeholders to identify data sources, resolve challenges, and ensure successful analytics delivery. Review analytical logic, outputs, and documentation for accuracy, scalability, and alignment with audit objectives. Identify opportunities for automation and the implementation of Continuous Controls Monitoring (CCM).

Manage delivery plans, prioritize tasks, oversee resources, and effectively manage stakeholder expectations across multiple analytics initiatives. Mentor and guide team members, providing technical direction and support to ensure high-quality delivery against engagement objectives.

We seek an experienced Audit Analytics leader with a strong technical foundation and a deep understanding of Internal Audit, risk, and controls. Your expertise should encompass leading end-to-end analytics delivery, providing technical guidance to teams, and effectively communicating complex analytical findings into actionable risk and business insights.

A solution-oriented and transformation-driven mindset is essential, enabling you to identify opportunities for analytics, automation, AI/GenAI, and continuous monitoring within the Internal Audit framework. The role also demands strong stakeholder management and commercial acumen to contribute to proposals, RFPs, solutioning, and the development of scalable analytics offerings.

Key qualifications include significant experience in Audit Analytics, Risk Analytics, or Controls Analytics engagements. A solid grasp of Internal Audit, risk assessment, control testing, KRIs, and exception testing is vital. Proficiency in SQL for complex queries and data transformations, coupled with hands-on Python experience for data analysis, automation, and scalable solutions, is required. Strong understanding of ETL, data quality, reconciliation techniques, and dashboard design with Power BI is crucial. Experience with Snowflake and/or Databricks in enterprise environments is expected. Exposure to AI/GenAI solutions and Large Language Models (LLMs) is beneficial.

Experience driving Internal Audit transformation through analytics adoption, automation, and modern data technologies is highly valued. Excellent stakeholder management skills for communicating technical concepts to diverse audiences and strong project and team management capabilities are necessary. Familiarity with business and technology processes like Procure-to-Pay (P2P), Order-to-Cash (O2C), Travel & Expense (T&E), ITGC, and SOX controls, along with experience with enterprise systems such as SAP, Oracle, Workday, and GRC tools, is advantageous.