Senior Internal Audit Consultant – Data & AI-Enabled Audit

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee assigned workstreams and moderately complex audit segments from the stages of scoping and planning through to testing, issue development, and reporting, under the guidance of leadership.

• Lead or assist in scoping discussions, formulate risk hypotheses, and aid in drafting business narratives or acceptance criteria for moderately complex audits as well as selected complex audit domains.

• Execute or supervise walkthroughs with business and technology stakeholders to pinpoint controls, process risks, automated processes or controls, and areas for enhancement.

• Implement audit procedures on complex business and technology controls with minimal oversight and assess outcomes using fact-based conclusions.

• Create and refine control testing procedures that correspond with the acceptance criteria, business narrative, risk hypotheses, and audit scope.

• Identify and assess alternative testing evidence and other pertinent information (including data-driven sources) to substantiate appropriate testing conclusions.

• Compose, refine, and convey audit observations and recommendations that clearly articulate the issue, risk, impact, and supporting evidence, presenting findings to clients with guidance from audit leadership.

• Utilize data analysis, automation, and generative AI tools to enhance testing accuracy, boost efficiency, summarize outcomes, and assist in issue development and insight generation.

• Mentor junior team members on testing implementation, documentation standards, stakeholder engagement, effective usage of data/analytics tools, and agile methodologies, while facilitating sprint progress and issue follow-up.

⛳️ Requirements

• Expertise in utilizing data analytics tools and programming languages such as Python, SQL, Power BI, or similar technologies for data extraction, analysis, visualization, and risk-focused testing.

• Experience in leveraging AI-enabled tools, including Microsoft 365 Copilot, to improve audit planning, testing, reporting, research, and operational efficiency while upholding appropriate governance and quality standards.

• Understanding of AI governance, responsible AI, and principles of model risk management, including fairness, accountability, transparency, explainability, data privacy, and regulatory considerations.

• Familiarity with assessing risks and controls related to AI-enabled technologies, automated decision-making processes, and the implementation of emerging technologies.

• Background with one or more AI and data platforms (e.g., Microsoft 365 Copilot, Azure AI, OpenAI, AWS Bedrock, AWS SageMaker, Google BigQuery, Google Vertex AI, or similar technologies) is preferred.

• Relevant professional certifications such as CPA, CISA, CIA, or CFE, or a commitment to pursuing these credentials, are highly encouraged.

• Interest in obtaining AI, data analytics, or technology-related certifications (e.g., ISACA AI Fundamentals, AI Audit certifications, AWS/Azure AI certifications, or data analytics credentials) is considered advantageous.

🏝️ Benefits

• Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse.

• Monthly connectivity reimbursement to assist with internet expenses.