Senior Internal Audit Consultant – Data & AI-Enabled Audit
Location
United States
Posted
1 day ago
Salary
$65.6K - $110.1K / year
Seniority
Senior
Job Description
Senior Internal Audit Consultant – Data & AI-Enabled Audit
Allstate
• 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.
Job Requirements
- 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.
Benefits
- Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse.
- Monthly connectivity reimbursement to help offset internet costs.
Related Guides
Related Categories
Related Job Pages
More Artificial Intelligence Jobs
• Data collection, evaluation, and annotation. • Pairwise comparisons. • Counting tasks. • Object tagging and labeling across different content types (audio, video, images, or collected data)
• Define and execute product, market, and innovation strategy. • Lead the transformation to a product-led, AI-enabled operating model. • Establish strategic vision for next generation commercial construction solutions. • Own product portfolio prioritization and investment decisions. • Lead company’s AI transformation strategy. • Build and institutionalize a specification-driven product development process. • Develop deep understanding of commercial construction, HVAC, plumbing, electrical, mechanical, and field service industries. • Partner with Sales and Marketing on go-to-market strategy.
Director, Deal Maker – US Strategic Sales, Business, AI and Application Led Transformation
KyndrylWe design, build, manage and modernize the mission-critical technology systems that the world depends on every day.
• Own deal strategy, shaping, and execution for large, complex engagements (> $10M TCV), ensuring alignment to customer business transformation goals. • Design and position solutions centered on AI, data platforms, and application modernization, translating emerging technologies into business outcomes. • Build differentiated, industry-relevant propositions tied to measurable client impact (growth, efficiency, innovation), rather than infrastructure-led delivery. • Build trusted relationships with CIOs, CTOs, and business leaders, leading strategic conversations on digital and AI transformation. • Collaborate across architecture, consulting, and delivery teams to create integrated solutions spanning applications, data, cloud, and AI. • Develop pricing, risk mitigation, and deal structuring approaches that balance competitiveness and profitability. • Direct the creation of compelling proposals and lead negotiations through contract signature. • Bring forward emerging trends (e.g., agentic AI, automation, intelligent workflows) to differentiate Kyndryl in competitive pursuits.
• Define and execute the company's product, market, and innovation strategy. • Establish the strategic vision for the company's next generation of commercial construction and field service management solutions. • Lead the transformation of the organization from traditional software development practices to an AI-enabled operating model. • Develop and maintain a multi-year product strategy aligned with corporate growth objectives. • Serve as a key member of the executive leadership team contributing to overall corporate strategy. • Own product portfolio prioritization and investment decisions. • Define the roadmap for AI-enabled workflows and intelligent business automation. • Maintain direct relationships with strategic customers and industry leaders. • Collaborate with Sales and Marketing on go-to-market strategy, positioning, packaging, pricing, and competitive differentiation. • Lead Product Management, Product Operations, Business Analysis, User Experience, and Product Innovation functions.
