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Manager of Analytics & AI Automation

Job in Orlando, Orange County, Florida, 32885, USA
Listing for: Creative Financial Staffing
Full Time position Listed on 2026-11-07
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis, AI Business & Operations, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 115000 - 130000 USD Yearly USD 115000.00 130000.00 YEAR

Job Description & How to Apply Below

Manager of Analytics & AI Automation

Compensation: $115,000 to $130,000
Location: Orlando, FL

Use data, AI, and automation to solve meaningful business challenges in a newly created role within a large, multibillion-dollar organization.

Why This Manager of Analytics & AI Automation Opportunity Stands Out

This position offers the opportunity to build an analytics and automation capability while connecting technical innovation with accounting, audit, and operational processes. The ideal candidate will:

  • Build and shape a newly created analytics and AI automation function
  • Develop solutions with meaningful organization-wide impact
  • Partner with leadership across audit, accounting, technology, and operations
  • Gain visibility across complex business processes, data, and risk areas
Key Responsibilities of the Manager of Analytics & AI Automation
  • Identify opportunities to improve business processes through analytics, AI, and automation
  • Translate accounting, audit, and operational needs into practical technical solutions
  • Analyze complex datasets to identify risks, trends, anomalies, and opportunities
  • Develop dashboards, automated workflows, and continuous monitoring solutions
  • Partner with business and technology teams to implement scalable solutions
Qualifications for the Manager of Analytics & AI Automation
  • 5–8 years of experience in analytics, AI, automation, business intelligence, or data science
  • Experience with tools such as SQL, Python, Power BI, Alteryx, or similar technologies
  • Understanding of accounting, audit, risk, controls, or business processes
  • Bachelor’s degree in Data Analytics, Information Systems, Accounting, Finance, or a related field

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