Finance Manager, Cross Border FP&A

Key Responsibilities

• 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
• 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
• 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

Basic Qualifications

• Bachelor's degree
• 6+ years of tax, finance or a related analytical field experience
• 5+ years of building financial and operational reports/data sets that inform business decision-making experience

Preferred Qualifications

• 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience
• 6+ years of solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits) experience
• MBA, or CPA
• Knowledge of SQL/ETL
• Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
• Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results