Corporate FP&A Manager: Strategy, Forecasting & Growth

VAST Data, Inc.; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

VAST Data, Inc. seeks a Manager, Corporate FP&A to elevate the finance function to public-company caliber. You will build and own the corporate model used for revenue forecasting, P&L planning, and strategic analysis.

The role requires 4–8 years of experience, strong financial modeling, and ability to influence decisions across departments. MBA preferred and experience with data-driven AI infrastructure growth is a plus.

Qualifications

• Bachelor’s or higher in Finance, Accounting, Economics, or related field; MBA preferred.
• 4–8 years of experience in finance, could include investment banking, PE, or consulting.
• Expert-level financial modeling and analytics; proficient in Excel/Google Sheets.
• Strong storytelling for executives, investors, and across teams.

Responsibilities

• Own and evolve the corporate financial model for revenue, P&L forecasting, and scenario analysis.
• Manage the Annual Planning cycle and develop the AOP with stakeholder input.
• Develop the Long Range Plan (LRP) with a multi-year financial roadmap.
• Drive forecasting improvements by partnering with business units and FP&A colleagues.
• Contribute to executive, board, and investor reporting with clear narratives.
• Collaborate with data teams to improve data hygiene and KPI automation.
• Build relationships to position finance as a strategic partner across the organization.

Skills

Financial modeling

Analytical thinking

Executive communication

Autonomy

Education

Bachelor's degree in Finance/Accounting/Economics

MBA preferred

Tools

SQL

SFDC (Salesforce)

NetSuite

Pigment

Excel/Google Sheets

Job description

VAST Data, Inc. seeks a Manager, Corporate FP&A to elevate the finance function to public-company caliber. You will build and own the corporate model used for revenue forecasting, P&L planning, and strategic analysis.

The role requires 4–8 years of experience, strong financial modeling, and ability to influence decisions across departments. MBA preferred and experience with data-driven AI infrastructure growth is a plus.