Internal Audit: AI & Automation Leader

Coeur-Mining,-Inc

Chicago (IL)

Hybrid

USD 115,000 - 120,000

Full time

14 days+

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Job summary

Coeur Mining in Chicago seeks a Lead Internal Audit, Automation and Analytics Lead to modernize the Internal Audit function by developing sustainable audit analytics, AI-enabled capabilities, and automated testing routines within SOX and operational audits.

You will collaborate with IT, Finance, Risk Management and process owners to implement data-driven controls, oversee governance of automation, and mentor the IA team on analytics and Tableau dashboards while advancing responsible AI use.

Qualifications

  • 5–6 years of progressive internal audit experience; SOX and IT audit exposure.
  • Strong knowledge of SOX/ICFR, COSO principles, and risk-based methodologies.
  • Experience with data analytics, automation, and AI-enabled audit practices.
  • Experience with Oracle ERP data modules such as GL, AP, AR, Procurement, Inventory, FA, HR/Payroll.

Responsibilities

  • Develop AI-enabled and automation-driven audit solutions for efficiency and consistency.
  • Design automated SOX control testing across financial reporting processes.
  • Support operational risk-based audits through data analytics and continuous monitoring.
  • Integrate analytics outputs into AuditBoard workflows and reporting.
  • Build reusable library of audit analytics, scripts, and dashboards.

Skills

Tableau
SQL
Excel
Data analysis
Stakeholder management
AI governance

Education

Bachelor’s degree in accounting, Finance, Business Administration, or a related field
CPA, CISA, CIA, or equivalent certification preferred

Tools

AuditBoard
Oracle ERP

Job description

Coeur Mining in Chicago seeks a Lead Internal Audit, Automation and Analytics Lead to modernize the Internal Audit function by developing sustainable audit analytics, AI-enabled capabilities, and automated testing routines within SOX and operational audits.

You will collaborate with IT, Finance, Risk Management and process owners to implement data-driven controls, oversee governance of automation, and mentor the IA team on analytics and Tableau dashboards while advancing responsible AI use.

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