Senior FP&A Director — AI‑Driven Enterprise Forecasting

Cleveland Diagnostics, Inc.

Cleveland (OH)

On-site

USD 100,000 - 200,000

Full time

7 days ago
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Benefits offered by this job

Employer-paid medical
Retirement match
Stock option program
Flexible work schedule

Job summary

Cleveland Diagnostics, Inc. seeks a Sr. Director, Corporate FP&A to lead enterprise planning, forecasting, performance management, and executive reporting. You will consolidate results across corporate functions and empower the Executive Leadership Team with clear, decision-relevant insights.

The role requires 10+ years in finance with FP&A, and hands-on experience using AI-enabled finance tools to modernize the function and improve data-driven decisions across the organization.

Qualifications

  • Minimum of 10 years of progressive finance experience including FP&A, business finance or strategic finance.
  • Demonstrates ability to partner with senior executives and present to boards.

Responsibilities

  • Own the annual operating plan, rolling forecasts, and long‑range planning with driver-based models.
  • Lead monthly/ quarterly business reviews translating results for CFO and Board.
  • Partner with commercial, lab operations, R&D, and billing teams for new tests, pricing, payer strategy and capital allocation.
  • Apply AI/automation to forecasting, variance analysis, and reporting to improve speed and accuracy.

Education

Bachelor's degree in finance, accounting, economics, business administration, or a related field

Tools

AI tools in finance
Financial modeling
Forecasting
Executive reporting

Job description

Cleveland Diagnostics, Inc. seeks a Sr. Director, Corporate FP&A to lead enterprise planning, forecasting, performance management, and executive reporting. You will consolidate results across corporate functions and empower the Executive Leadership Team with clear, decision-relevant insights.

The role requires 10+ years in finance with FP&A, and hands-on experience using AI-enabled finance tools to modernize the function and improve data-driven decisions across the organization.

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