Internal Audit AI, Automation & Analytics Lead

Career Opportunities:
Internal Audit AI, Automation & Analytics Lead (7968)

Make an impact at all-North American precious metals producer. New Gold is now part of Coeur Mining. Visit  to learn more.

Coeur Mining attracts and hires highly skilled individuals. By joining our team, you can look forward to:

• A stimulating values-based work environment
• A culture of collaboration and inclusion
• Inspiring colleagues and approachable leaders
• A deeply rooted commitment to responsible mining, health and safety and community engagement
• A comprehensive benefits package including a retirement savings plan

Coeur Mining is a growing, all-North American precious metals producer with seven operations: the Las Chispas silver-gold mine and Palmarejo gold-silver complex in Mexico, the Rochester silver gold mine in Nevada, the Kensington gold mine in Alaska, the Wharf gold mine in South Dakota, the Rainy River gold mine in Ontario, Canada, and the New Afton copper-gold mine in British Columbia, Canada.

In addition, Coeur owns the Silvertip silver-zinc-lead exploration project in British Columbia.

Coeur offers a flexible, hybrid work model and a culture built on safety, collaboration, and real opportunities to develop your career for those who want to grow alongside a company that is doing the same.

Location:

Toronto, ON

This position combines internal audit experience, data analytics, automation, and responsible AI practices to strengthen audit execution, expand continuous monitoring, and improve assurance quality across SOX compliance and operational risk-based audits.

The Internal Audit AI, Automation and Analytics Lead modernizes the Internal Audit function by developing sustainable audit analytics, AI-enabled capabilities, and automated control-testing routines. The role supports risk-based audits and SOX compliance activities under the annual audit plan, improving audit efficiency, expanding testing coverage, and enhancing the quality and consistency of assurance across SOX compliance and operational risk-based audits.

• Developing AI-enabled and automation-driven audit solutions that improve the efficiency, depth, and consistency of audit procedures.
• Designing and implementing automated SOX control testing routines across critical financial reporting processes.
• Supporting operational risk-based audits through data analytics, exception identification, root-cause analysis, and continuous monitoring techniques.
• Integrating analytics outputs into Audit Board work papers, SOX testing workflows, issue tracking, and audit reporting processes.
• Building a reusable library of audit analytics procedures, automated scripts, dashboards, and documented testing logic.
• Collaborating with Internal Audit leadership to identify high-value automation opportunities across SOX compliance, operational audits, and advisory engagements.
• Coordinating with IT, Finance, Risk Management, SOX stakeholders, and business process owners to obtain data, validate results, and support the remediation of identified issues.
• Establishing appropriate governance over audit automation, including documentation standards, change control, evidence retention, data quality validation, and reviewer sign-offs.
• Enhancing continuous auditing and monitoring capabilities across key business processes such as Procure-to-Pay, Financial Close, Inventory, Payroll, and system access controls.
• Assisting with SOX walkthroughs, design and operating effectiveness testing, deficiency evaluation, and control optimization opportunities.
• Conduct risk-based audits as needed to support Internal Audit in delivering the overall plan.
• Supporting operational audits by applying analytics to improve scoping, testing precision, and insight generation.
• Promoting the responsible and controlled use of AI within Internal Audit, including necessary human reviews, confidentiality safeguards, and defensible audit documentation.
• Training and coaching Internal Audit team members on analytics, automation, Tableau dashboards, and data-driven audit techniques.
• Staying informed about emerging trends in audit analytics, artificial intelligence, automation, SOX…