[Remote] Internal Audit Assistant Director - Data Analytics & AI

Note: The job is a remote job and is open to candidates in USA. ADM is a global leader in human and animal nutrition and agricultural origination and processing, providing ingredients and solutions worldwide. The Assistant Director will lead the transformation of Internal Audit through AI and advanced analytics, including developing the AI strategy, deploying intelligent automation, redesigning audit processes, and establishing continuous auditing capabilities. The role will also lead analytics-driven audit engagements, develop team capabilities, and partner with executive stakeholders on AI governance and risk coverage.

Responsibilities

• Define and own the multi-year AI and analytics roadmap for Internal Audit, aligning it with ADM's broader enterprise data strategy
• Lead the end-to-end deployment of AI agents across the audit lifecycle — risk assessment, scoping, fieldwork, testing, reporting, and issue follow-up
• Identify and prioritize high-value opportunities to automate manual, repetitive audit procedures through intelligent agents and robotic process automation (RPA)
• Partner with ADM's enterprise AI, data engineering, and IT teams to access data assets and integrate audit tooling into the broader technology stack
• Evaluate and implement best-in-class audit technology platforms, AI co-pilot tools, and large language model (LLM) applications relevant to internal audit
• Re-engineer core audit processes to operate in an AI-augmented environment — redesigning workflows, control testing approaches, and documentation standards
• Establish a continuous auditing and continuous monitoring (CA/CM) capability, enabling real-time risk signals and always-on audit coverage across critical processes
• Develop and maintain a suite of reusable analytics tools, data models, and automated testing scripts that audit teams can deploy across engagements
• Drive standardization of data ingestion, transformation, and analysis pipelines to ensure consistency, auditability, and scalability
• Design and lead a structured analytics and AI upskilling program for the full Internal Audit team — spanning foundational data literacy through advanced AI fluency
• Create a tiered competency framework aligned to roles (Staff Auditor through Assistant Director), with targeted learning paths, hands-on labs, and applied project experience
• Embed analytics specialists alongside traditional audit teams on engagements, creating a "BIE-style" model where data capabilities are integrated into every project
• Champion a culture of curiosity, experimentation, and continuous learning; recognize and reward innovation by team members
• Serve as the internal center of excellence for analytics and AI — coaching teams, fielding questions, and building institutional knowledge
• Lead and oversee data-driven audit engagements, applying advanced analytics to evaluate controls, detect anomalies, and surface insights not visible through traditional sampling
• Incorporate AI-generated risk signals into the annual audit plan and dynamic risk assessment process; provide the CAE with data-backed perspective on emerging risks
• Ensure appropriate governance, bias controls, and explainability standards are applied when AI outputs inform audit conclusions
• Prepare and present executive-ready deliverables — translating complex analytical findings into clear narratives for the Audit Committee, CFO, and senior management
• Build trusted relationships with ADM's CFO, Controller, Chief Data Officer, and CIO organizations to align on data access, AI initiatives, and joint priorities
• Represent Internal Audit in enterprise-wide AI governance forums; contribute to responsible AI policy and ethical use standards
• Coordinate with external auditors on data analytics methodologies to ensure alignment and avoid duplication of effort

Skills

• * Bachelor's degree in Accounting, Finance, Data Science, Computer Science, or a related field
• * 12+ years of progressive experience across internal audit, external audit (Big 4), or data/analytics roles within a large, complex organization
• * Demonstrated track record designing and deploying AI or advanced analytics solutions in an audit, risk, finance, or compliance context
• * Experience leading or significantly contributing to digital transformation or process automation initiatives
• * Prior people leadership experience with a passion for coaching, developing, and retaining talent
• * Experience in product ownership or familiarity/certification in agile methods and frameworks
• * Proficiency in analytics and data platforms: Python, SQL, Power BI, Tableau, Alteryx, or equivalent
• * Working knowledge of AI/ML frameworks and generative AI concepts (LLMs, prompt engineering, agentic architectures, RAG)
• * Familiarity with cloud data environments (Azure, AWS, Snowflake, Databricks) and data governance principles
• * Experience with ERP systems and audit management platforms
• * Strong command of Microsoft 365 productivity suite including Power Automate, Copilot, and Excel
• * Exceptional executive presence — able to communicate complex analytical and technical content to non-technical audiences including the Audit Committee and C-suite
• * Strategic thinker who can translate ambiguous organizational goals into executable roadmaps and measurable outcomes
• * Collaborative influencer skilled at building consensus across functions, geographies, and seniority levels
• * High degree of intellectual curiosity and comfort operating in rapidly evolving, ambiguous environments
• Advanced degree preferred
• * CPA, CIA, or CISA strongly preferred
• Data-related certifications (e.g., AWS, Azure, Google Cloud, Databricks) a plus

Benefits

• The total compensation package for this position will also include annual bonus and a long-term incentive plan

Company Overview

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