Manager

About the Role

As a Manager – Audit Analytics, you will lead the design and delivery of data analytics solutions across Internal Audit, risk and controls engagements. You will partner with audit, business, technology and data stakeholders to translate risk and control objectives into scalable analytical solutions while providing technical oversight and driving high-quality delivery across teams. The role provides an opportunity to drive Internal Audit transformation through data analytics, automation, Continuous Controls Monitoring (CCM), AI/GenAI and modern data technologies. You will also contribute to business development through solutioning, proposals and 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 modelling, 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.