• Assist in implementation of Internal Audit’s data analytic program in support of Internal Audit’s strategic goals.
• Identify, design, implement and execute use-cases and pilots for data analytics and visualizations in all phases of the department’s audit process, advisory engagements, and ad-hoc projects.
• Manage, measure and present to Internal Audit leadership an evaluation of the department’s current data analytics and innovation program/efforts, current use of applications/tools, industry benchmarking of the department’s program against leading internal audit industry standard practices, proposals for future state roadmap adjustments (as needed), and steps to continue to evolve the program.
• Support audit engagements by scripting of data analysis procedures in ACL and/or Tableau, focusing on key risks specific to the audit processes in scope and uncovering meaningful insights for the audit team and the Management.
• Assist in the development of the annual risk-based audit plan by assessing the key risks at the Business Unit and at Head Office.
• Develop continuous audit programs that provide more efficient and complete assurance coverage and/or insight across available transactional data.
• Support the audit staff on different types of operational audit reviews.
• Drive quality and continuous improvement throughout data analytics processes including data extraction, risk assessment, data analysis, and visualization/reporting.
• Provides input on matters regarding data governance, "big data", data quality, machine learning and other relevant enterprise business topics.
• Develops effective line management relationships to ensure strong understanding of the business.