Senior FP&A Leader – Manufacturing, AI-Driven (Hybrid)

KYYBA

Columbus (IN)

Hybrid

USD 90,000 - 120,000

Full time

8 days ago

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Job summary

Kyyba is seeking a Financial Planning & Analysis leader for our Columbus, IN site. This role focuses on monthly/quarterly reporting, forecasting cycles, and AOP alignment within a manufacturing environment.

You will lead a small team and partner with cross-functional groups to deliver accurate insights for senior leadership. The ideal candidate has 7+ years in financial planning and reporting, supervisory experience, and a strong data-driven mindset to advance AI-enabled finance initiatives.

Qualifications

  • Bachelor's degree in Finance, Accounting, or related field.
  • 7+ years of progressive financial planning, forecasting, and reporting experience in manufacturing.

Responsibilities

  • Lead monthly and quarterly consolidated actuals reporting and variance analysis for senior leadership.
  • Investigate variances, identify root causes, and drive corrective actions with cross-functional teams.
  • Oversee reporting deliverables: T-Chart, PSBU tariff, headcount, and month-end revenue estimation.
  • Manage quarterly forecast cycles and monthly V&O processes.
  • Collaborate to deliver AOP and simulation aligned with global supply chain strategies.
  • Lead and develop a team of Financial Analysts (3–5 reports).
  • Champion AI initiatives to improve efficiency and insight-driven decisions.

Skills

Forecasting
Financial Analysis
Leadership
Variance Analysis
Planning & Reporting

Education

Bachelor's degree in Finance/Accounting

Tools

NorthStar
Power BI
Excel

Job description

Kyyba is seeking a Financial Planning & Analysis leader for our Columbus, IN site. This role focuses on monthly/quarterly reporting, forecasting cycles, and AOP alignment within a manufacturing environment.

You will lead a small team and partner with cross-functional groups to deliver accurate insights for senior leadership. The ideal candidate has 7+ years in financial planning and reporting, supervisory experience, and a strong data-driven mindset to advance AI-enabled finance initiatives.

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