Finance Manager, Cross Border FP&A

We are seeking a Finance Manager to join our Financial Planning & Analysis (FP&A) team. This role is uniquely positioned at the intersection of strategic finance and artificial intelligence — you will own core FP&A responsibilities while simultaneously championing an AI-first approach to transform how the finance function operates. The ideal candidate is both a strong finance manager and a passionate advocate for leveraging AI/ML to drive efficiency, accuracy, and strategic insight at scale. Key Responsibilities Financial Planning & Analysis (Core FP&A) - Own end-to-end financial planning processes including annual operating plans, long-range forecasts, and monthly/quarterly business reviews - Develop and maintain financial models to support revenue forecasting, cost optimization, and scenario planning - Partner with business leaders to provide actionable financial insights, variance analysis, and recommendations that influence strategic decisions - Prepare executive-level financial narratives, bridge analyses, and KPI reporting packages - Drive the monthly close process from an FP&A perspective — ensuring accuracy, timeliness, and insightful commentary - Identify risks and opportunities through deep-dive analysis and proactive financial monitoring AI-First Finance Transformation - Define the AI Vision for FP&A: Develop and execute a roadmap to embed AI/ML capabilities across the FP&A function — from forecasting and anomaly detection to automated reporting and natural language insights - Build & Deploy AI Solutions: Identify, pilot, and scale AI-powered tools (e.g., predictive forecasting models, intelligent automation, generative AI for narrative generation) that reduce manual effort and improve decision quality - Champion an AI-First Mindset: Evangelize the use of AI across the broader finance organization; lead training sessions, create playbooks, and establish best practices for AI adoption - Automate & Optimize: Identify repetitive, low-value tasks within FP&A workflows and design AI/automation solutions to eliminate them — freeing up capacity for higher-order strategic work - Data Strategy & Governance: Partner with data engineering and analytics teams to ensure clean, accessible, and well-governed data pipelines that power AI models - Measure AI Impact: Define success metrics for AI initiatives (e.g., forecast accuracy improvement, hours saved, cycle time reduction) and report progress to leadership Driving AI Capability Across Finance - Serve as the AI subject matter expert within the finance organization — staying current on emerging AI/ML technologies and their applicability to finance use cases - Build a community of practice around AI in finance; mentor peers and junior analysts on AI tools and techniques - Collaborate with engineering, data science, and product teams to co-develop AI solutions tailored to finance needs - Contribute to the development of AI governance frameworks, ensuring responsible and ethical use of AI in financial decision-making