Senior Internal Audit Consultant

Role Description

The Senior Internal Audit Consultant leads key portions of risk-based audits across business operations, financial reporting, technology processes, and strategic initiatives. Working in an agile, data-driven and technology-enabled internal audit environment, this role manages assigned workstreams and moderately complex audit segments from planning and risk assessment through control testing, issue development, and reporting, with oversight from audit leadership. The Senior Consultant I serves as an important link between audit leadership, junior team members, and business and technology stakeholders, helping ensure clarity, alignment, and high-quality audit execution.

This role applies audit procedures to moderately complex and selected complex audit areas with minimal guidance, contributes to scoping and story development, reviews staff work, and communicates audit results to clients in collaboration with audit leadership. The Senior Consultant I uses data analytics, automation, and generative AI-enabled tools to improve audit quality and insight generation while mentoring junior auditors and applying critical thinking to evaluate results, refine observations, and strengthen execution of moderately complex and complex audit work.

Key Responsibilities

• Lead assigned workstreams and moderately complex audit segments from scoping and planning through testing, issue development, and reporting, with leadership oversight.
• Lead or contribute to scoping discussions, develop risk hypotheses, and help draft business stories or acceptance criteria for moderately complex audits and selected complex audit areas.
• Perform or oversee walkthroughs with business and technology stakeholders to identify controls, process risks, automated processes or controls, and opportunities for improvement.
• Apply audit procedures to complex business and technology controls with minimal guidance and evaluate results using fact-based conclusions.
• Develop and refine control testing procedures that align to the acceptance criteria, business story, risk hypotheses, and audit scope.
• Identify and evaluate alternative testing evidence and other relevant information (including data-driven sources) to support appropriate testing conclusions.
• Draft, refine, and communicate audit observations and recommendations that clearly describe the issue, risk, impact, and supporting evidence, and present results to clients with oversight from audit leadership.
• Use data analysis, automation, and generative AI tools to improve testing precision, increase efficiency, summarize results, and support issue development and insight generation.
• Mentor junior staff on testing execution, documentation quality, stakeholder interaction, effective use of data/analytics tools, and agile ways of working, and help drive sprint progress and issue follow-up.

Qualifications

• Proficiency in using data analytics tools and programming languages such as Python, SQL, Power BI, or similar technologies to perform data extraction, analysis, visualization, and risk-focused testing.
• Experience leveraging AI-enabled tools, including Microsoft 365 Copilot, to enhance audit planning, testing, reporting, research, and operational efficiency while maintaining appropriate governance and quality standards.
• Knowledge of AI governance, responsible AI, and model risk management principles, including fairness, accountability, transparency, explainability, data privacy, and regulatory considerations.
• Familiarity with evaluating risks and controls associated with AI-enabled technologies, automated decision-making processes, and emerging technology implementations.
• Experience 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.
• Core professional certifications such as CPA, CISA, CIA, or CFE, or an interest in 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 a plus.

Skills

• Accounting
• Audit Management
• Audit Planning
• Data Analysis
• Internal Auditing
• Internal Controls
• Operational Excellence
• Process Improvements
• Regulatory Audits
• Risk Evaluation And Mitigation Strategy (REMS)

Compensation

Compensation offered for this role is $65,600.00 - $110,075.00 annually and is based on experience and qualifications.