VP Data Analytics Audit

Overview

A leading global financial institution is seeking an experienced Internal Audit Data Analytics Manager to support its Americas Internal Audit organization. This role will lead the development and execution of data analytics capabilities used to enhance audit coverage, automate testing, identify emerging risks, and evaluate the effectiveness of controls across financial services operations.

The position combines internal audit, data risk, data analytics, and technology and will work closely with audit leadership, business stakeholders, and internal audit teams to identify relevant data sources, develop analytical routines, and turn large datasets into actionable audit insights. The successful candidate will have strong technical capabilities across data extraction, transformation, analysis, visualization, and automation.

This is a hybrid New York City-based opportunity for a senior professional who can independently manage analytics initiatives while also supporting audit execution, continuous monitoring, management reporting, and special projects.

Responsibilities

• Lead and execute the internal audit data analytics program across the Americas organization.
• Identify opportunities to leverage analytics to improve audit quality, coverage, efficiency, and testing volumes.
• Design, develop, and maintain data analytics routines supporting audit execution and continuous monitoring.
• Extract, transform, store, and process data from complex financial and business systems.
• Develop automated testing techniques to identify outliers, anomalies, patterns, trends, and control exceptions.
• Partner with Internal Audit teams to identify data sources and data elements required for audit testing.
• Build and maintain analytics infrastructure supporting data extraction, processing, visualization, and reporting.
• Use data visualization and analytics tools to communicate audit findings and risk insights.
• Support control testing by analyzing audit evidence, reviewing workpapers, evaluating results, and assessing control effectiveness.
• Develop recurring and ad-hoc reporting to measure the effectiveness and progress of the data analytics program.
• Identify opportunities to improve the organization's broader data strategy and audit processes.
• Lead special projects and other analytics initiatives requested by Internal Audit leadership.