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. The Assistant Director, Data Analytics & Artificial Intelligence will lead Internal Audit’s AI and analytics strategy, including audit agentization, intelligent automation, continuous auditing, and data-driven assurance. The role also develops team capabilities, oversees analytics-enabled audit engagements, and partners with senior 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
- Annual bonus
- A long-term incentive plan
Company Overview