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Tier-1 brand and common FP&A title attract many qualified applicants.
SaaS FP&A specifics (ARR, ACV, Adaptive) reduce transferability across industries moderately.
Required MBA, explicit 2-year minimum and specific FP&A tools make filtering strict.
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Own monthly and quarterly product financial reporting including accuracy, timely delivery, and automation improvements.
Lead analysis of key product financial metrics (e.g., New Business ACV, ARR, Revenue, Churn) to identify trends and growth drivers using AI-enabled tools.
Develop P&L frameworks and forecasts for product lines; conduct variance analysis and manage headcount and OpEx (especially R&D) reporting and forecasting.
MBA in Finance is required; coding or technical background preferred.
Minimum 2 years of relevant financial analysis or FP&A work experience.
Foundational understanding of AI/ML technologies and experience with AI-driven financial or operational tools.
Experience with financial, database, and visualization systems including SQL, Tableau, Generative AI/Semantic AI tools, Adaptive Insights, NetSuite, Salesforce, and advanced MS Excel & PowerPoint.
Ability to navigate between high-level strategic finance planning and hands-on execution with attention to detail.
Strong data-driven mindset with expertise in financial data analysis, interpretation, and AI/ML usage in financial workflows.
Comfortable owning end-to-end financial reporting and automation initiatives in a high-growth, global technology environment focused on innovation.