Internal Audit AI & Analytics Leader

Archer Daniels Midland Company

Newman

On-site

AUD 257,000 - 356,000

Full time

14 days+
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Benefits offered by this job

Physical wellness
Financial wellness
Mental and social wellness
Paid time off

Job summary

Archer Daniels Midland Company in Chicago, IL seeks an Assistant Director of Data Analytics & AI to shape the AI strategy for Internal Audit, drive agentization, and partner with enterprise AI, data engineering, and IT teams.

The role emphasizes building a data-fluent audit organization, delivering AI-enabled risk insights, and mentoring teams through ongoing upskilling in analytics and AI.

Qualifications

  • 12+ years progressive internal or external audit or data analytics experience.
  • Proven track record deploying AI or advanced analytics in risk, finance, or compliance.
  • Experience leading digital transformation and process automation initiatives.
  • Prior people leadership with coaching and development focus.
  • Agile product ownership experience or certification.

Responsibilities

  • Define and own the multi-year AI and analytics roadmap for Internal Audit.
  • Lead end-to-end deployment of AI agents across the audit lifecycle.
  • Develop reusable analytics tools, data models, and automated tests.
  • Establish CA/CM capability for real-time risk signals.
  • Prepare executive-ready deliverables for Audit Committee and C-Suite.

Skills

AI strategy development
Analytics leadership
Executive communication
Stakeholder management

Education

Bachelor's degree in Accounting, Finance, Data Science, Computer Science, or related field
CPA, CIA, or CISA strongly preferred
AWS/Azure/Google Cloud/Databricks certifications

Tools

Python
SQL
Power BI
Tableau
Alteryx
Azure
AWS
Snowflake
Databricks
ERP systems
Power Automate
Copilot
Excel

Job description

Archer Daniels Midland Company in Chicago, IL seeks an Assistant Director of Data Analytics & AI to shape the AI strategy for Internal Audit, drive agentization, and partner with enterprise AI, data engineering, and IT teams.

The role emphasizes building a data-fluent audit organization, delivering AI-enabled risk insights, and mentoring teams through ongoing upskilling in analytics and AI.

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