Lead Internal Audit, Automation and Analytics

Lead Internal Audit, Automation and Analytics Lead

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 Lead Internal Audit, 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.

Key Responsibilities:

• 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 AuditBoard workpapers, 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 compliance, internal controls, and technology-enabled assurance.
• Supporting the continuous improvement of the Internal Audit methodology, tools, templates, and reporting practices.
• Undertaking additional projects and initiatives as required by Internal Audit leadership.

Occupational Experience & Education Requirements:

• Bachelor's degree in accounting, Finance, Business Administration, or a related field.
• CPA, CISA, CIA, or equivalent certification preferred
• Minimum of 5-6 years of progressive internal audit experience. Additional commercial experience is highly desirable.
• Previous experience in Internal Audit, SOX compliance, external audit, IT audit, data analytics, or technology-enabled assurance;
• Strong understanding of SOX / ICFR requirements, COSO internal control principles, and risk-based audit methodologies;
• Demonstrated ability to design and execute automated control testing procedures;
• Experience working with Oracle ERP data, including modules such as General Ledger, Accounts Payable, Accounts Receivable, Procurement, Inventory, Fixed Assets, and HR/Payroll;

Knowledge, Skills, Attributes:

• Proficiency in Tableau or similar data visualization tools;
• Strong SQL, Excel, and data analysis skills;
• Ability to validate data completeness and accuracy, document testing logic, and ensure audit evidence is repeatable and defensible;
• Familiarity with continuous auditing, continuous monitoring, anomaly detection, exception reporting, and key risk indicator development;
• Awareness of AI governance, responsible AI use, data confidentiality, and risks associated with automated decision-support tools;
• Strong analytical and problem-solving skills, with the ability to identify patterns, trends, anomalies, and root causes from large datasets;
• Ability to translate technical data outputs into clear audit observations, business risks, and practical recommendations;
• Strong written and verbal communication skills, including the ability to present complex analytics in a concise and business-friendly manner;
• High attention to detail, strong documentation discipline, and commitment to audit quality;
• Project and time management skills, with the ability to manage multiple priorities and deliver within defined timelines;
• Strong stakeholder management skills, including the ability to collaborate effectively with IT, Finance, Operations, and control owners;
• Ability to challenge existing practices constructively and identify opportunities to improve efficiency and control effectiveness;
• Strong professional judgment, integrity, confidentiality, and objectivity; and
• Ability to coach and support audit team members in the adoption of analytics, automation, and AI-enabled audit practices.

Additional:

• Experience with AuditBoard or similar audit management / GRC platforms;
• Experience with data analytical tools and AI
• Proficiency in Tableau or similar data visualization tools;

Working Conditions:

• Remote/Hybrid role
• Expected travel to operations across the organization is approximately 15% to 25%.

The salary range offered for this role is USD $115,000-$120,000 range. The salary offer to the successful candidate will be based on job-related education, training, and/or experience. The salary offer will not be based on a candidate's salary history at other jobs, and by law, Coeur Mining will not seek information about salary history, and candidates should not share such information with Coeur Mining. Coeur Mining provides a comprehensive benefits package including retirement benefits, health benefits, paid time off, parental and caregiver leave, life & accident insurance, and other voluntary and well-being benefits. Coeur Mining also provides a discretionary bonus program that may include an equity component.