Responsibilities of the Candidate:

Take responsibility of the monthly product reporting process, ensuring complete data accuracy and timely delivery, while continuously driving automation initiatives to improve efficiency and streamline workflows
Lead quarterly product reporting and analyse key metrics such as New Business ACV, Upsell/Cross-sell, ARR, Revenue, Churn, and Swaps and utilizing AI-enabled tools to identify trends and growth drivers
Formulate comprehensive P&L frameworks and strategic forecasts for various product lines to support data-driven decision-making across management
Deliver clear, insightful variance analysis of actual bookings against forecasts, highlighting key business drivers, risks, and strategic opportunities
Manage monthly and quarterly headcount and operating expense (OpEx) reporting and forecasting (specifically focusing on R&D spend), providing detailed variance commentary and financial walk models

Requirements:

Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
MBA in Finance, with a preference for candidates who possess a coding or technical background
Minimum 2 years of relevant prior work experience
Exposure to or knowledge of financial, database, and visualization systems including SQL, Tableau, Generative AI / Semantic AI tools, Adaptive Insights, NetSuite, Salesforce, and advanced MS Excel & PowerPoint