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Posted on 2025/12/01

AI Finance

North Carolina Staffing

Raleigh, NC, United States

Full-time

Qualifications

  • Bachelors degree in Finance, Accounting, Business, Computer Science
  • Minimum of seven years of progressive experience in Financial Planning & Analysis (FP&A), with demonstrated expertise in: Strategic financial planning, budgeting, and forecasting processes
  • Financial modeling and scenario analysis
  • Cross-functional collaboration with business stakeholders

Responsibilities

  • The AI Finance Senior Manager is a crucial role responsible for supporting the Finance Applications Data Lead in executing the overall data management strategy for finance applications
  • Leading the design and delivery of system architecture solutions in collaboration with technical teams
  • Tailoring technology platforms to business processes, ensuring clients maximize their investment through effective use and continuous improvement
  • Managing complex processes, solutions, and projects while maintaining a focus on quality and risk management
  • Variance analysis and management reporting

Full Description

Job Summary

The AI Finance Senior Manager is a crucial role responsible for supporting the Finance Applications Data Lead in executing the overall data management strategy for finance applications.

Key Responsibilities

• Leading the design and delivery of system architecture solutions in collaboration with technical teams.

• Tailoring technology platforms to business processes, ensuring clients maximize their investment through effective use and continuous improvement.

• Managing complex processes, solutions, and projects while maintaining a focus on quality and risk management.

Requirements

• Bachelors degree in Finance, Accounting, Business, Computer Science.

• Minimum of seven years of progressive experience in Financial Planning & Analysis (FP&A), with demonstrated expertise in: Strategic financial planning, budgeting, and forecasting processes.

• Financial modeling and scenario analysis.

• Variance analysis and management reporting.

• Cross-functional collaboration with business stakeholders.

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