Senior Audit Analytics & AI Automation Leader

Blue Signal Search

Chicago (IL)

On-site

USD 210,000 - 270,000

Full time

2 days ago
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Job summary

Blue Signal is seeking a Senior Audit Analytics & Automation Leader to modernize a large enterprise audit function through data-driven analytics, automation, and practical AI adoption.

You will build roadmaps, dashboards, automated testing, and continuous-monitoring capabilities, partnering with audit, finance, data, tech, and enterprise AI stakeholders.

This high-visibility role emphasizes scale, governance, and responsible AI use, with executive-level compensation and long-term impact.

Qualifications

  • 12+ years across internal/external audit, analytics, risk, or finance transformation.
  • Big Four or national public accounting foundation preferred.
  • Strong credibility in audit, risk, controls, SOX, or finance processes.
  • Experience applying analytics, automation, AI to audit and compliance.
  • Translate complex tech to clear insights for executives.

Responsibilities

  • Build and execute the audit analytics and AI roadmap.
  • Identify opportunities to automate audit planning, testing, reporting, and issue follow-up.
  • Develop dashboards, reusable analytics, automated testing, and continuous-monitoring approaches.
  • Partner with audit, finance, data, technology, and enterprise AI stakeholders.
  • Strengthen team capabilities in data analytics, automation, and AI adoption.

Skills

Audit analytics
AI adoption
Automation
Data governance
Executive communication

Education

Bachelor’s degree in accounting/finance/data science

Tools

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

Job description

Blue Signal is seeking a Senior Audit Analytics & Automation Leader to modernize a large enterprise audit function through data-driven analytics, automation, and practical AI adoption.

You will build roadmaps, dashboards, automated testing, and continuous-monitoring capabilities, partnering with audit, finance, data, tech, and enterprise AI stakeholders.

This high-visibility role emphasizes scale, governance, and responsible AI use, with executive-level compensation and long-term impact.

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