We are seeking a Finance Manager to support the Cross Border Program in Latin America (MX/BR). This role sits at the intersection of strategic finance partnership and artificial intelligence — you will serve as the trusted financial while simultaneously championing an AI-first approach to transform how finance enables and accelerates decisions at global scale. The ideal candidate combines deep business partnering instincts with a passion for leveraging AI/ML to unlock insights, drive efficiency, and elevate the strategic impact of finance.

Key Responsibilities
Finance Business Partnering
- Serve as the primary finance partner to — providing strategic financial counsel on investment decisions, cost optimization, vendor economics, and program scalability
- Own the financial planning cycle including annual operating plans, long-range forecasts, and quarterly business reviews with a focus on purchasing spend, savings targets, and program ROI
- Deliver insightful variance analysis, bridge walks, and executive narratives that connect business performance to broader P&L and cash flow outcomes
- Proactively identify financial risks and opportunities — surfacing trade-offs and recommendations to leadership
- Partner cross-functionally with program managers, product, and Category teams to ensure financial alignment on initiatives
- Influence program prioritization and resource allocation through rigorous financial frameworks and business case development
- Support due diligence and financial evaluation of new programs and initiatives
AI-First Finance Transformation
- Define the AI Vision: Develop and execute a roadmap to embed AI/ML capabilities across finance processes — from spend forecasting and savings tracking to automated vendor financial assessments
- Build & Deploy AI Solutions: Identify, pilot, and scale AI-powered tools that reduce manual effort and improve decision quality
- Champion an AI-First Mindset: Evangelize the use of AI across the finance function; lead training sessions, create playbooks, and establish best practices for AI adoption
- Automate & Optimize: Identify repetitive, low-value tasks and design AI/automation solutions to eliminate them — freeing up capacity for strategic business partnering
- Data Strategy & Governance: Partner with data engineering, global finance solutions, 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 in financial reviews) and report progress to leadership