LATAM Planning & Analytics Manager, Monetization Strategy and Operations

As a Manager on the Strategy Planning & Analytics team, you will be a key architect of TikTok’s monetization engine across Latin America. This isn’t a "maintenance" role; you will be responsible for building the frameworks that define how we forecast revenue, optimize sales performance, and allocate resources across one of the world's fastest-growing digital landscapes. You will sit at the intersection of high-level financial planning (FP&A) and data deep-dives, ensuring that our growth is both ambitious and sustainable.
Key Responsibilities
• Strategic Forecasting & Modeling: Develop and refine sophisticated forecasting models to predict revenue and user behavior across diverse LATAM markets.
• Sales Planning & FP&A: Lead the end-to-end sales planning process, establishing targets that balance ambition with statistical reality. You will manage the P&L mindset for the region, ensuring every dollar spent is optimized for ROI.
• The Global-Local Bridge: Act as the primary analytical pulse between the LATAM business and the global HQ. This requires managing high-velocity communication and translating regional nuances into actionable data for global stakeholders.
• Monetization Insight: Move beyond "what happened" to "why it happened." You will utilize data analysis to identify risks and monetization opportunities within the sales funnel.
• Operational Excellence: Build and automate dashboards that provide real-time visibility into sales health, removing the friction from decision-making for the leadership team.
Requirements:
Minimum Qualifications:
• 5+ years in Strategy, FP&A, or Analytics, preferably within Big Tech or a high-growth marketplace.
• Deep understanding of the LATAM economic landscape.
• Fluency in English is required to communicate with business stakeholders based in LATAM and other global markets
Preferred Qualifications:
• Proficiency in data modeling, visualization, and financial planning.
• Comfortable working in a dynamic, high growth environment
• Proficient in SQL and Python/R