Finance Transformation Manager (AI/Task Mining) (Bangkok Based, Relocation Provided)

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. The Opportunity The Finance Transformation Manager (AI/Task Mining) will lead AI-enabled process transformation across Finance Operations, with a strong focus on Record to Report (R2R), Order to Cash (O2C), and Procure to Pay (P2P) . This role will combine finance process expertise, continuous improvement, task and process mining, intelligent automation, and emerging AI capabilities to improve efficiency, scalability, control, and data quality within Finance. You will identify high-value transformation opportunities, translate finance pain points into practical digital solutions, and work cross-functionally with Finance, Product, Data, Engineering, and Technology teams to deliver sustainable outcomes. The successful candidate will help establish a scalable transformation pipeline—from opportunity identification and business-case development through solution design, pilot, implementation, adoption, and benefit realization. In This Role, You Will Lead end-to-end finance transformation initiatives across R2R, O2C, and P2P. Assess processes using process mining, task mining, value-stream mapping, and data analysis to identify inefficiencies, risks, and automation opportunities. Identify, prioritize, and evaluate use cases for GenAI, machine learning, OCR/IDP, RPA, workflow automation, and analytics. Translate Finance pain points into scalable AI-enabled solutions with Finance, Product, Data, Engineering, Technology, Risk, and Compliance teams. Develop business cases, transformation roadmaps, pilot plans, and benefits-tracking frameworks, and project-manage the implementations. Evaluate AI tools, automation platforms, and vendors based on business value, usability, data requirements, scalability, integration complexity, cost, risk, and controls. Lead proofs of concept and support the implementation, adoption, and scaling of successful solutions. Establish appropriate controls for AI-enabled processes, including human oversight, auditability, data quality, privacy, and compliance. Design Finance process-management standards, including process inventories, L3/L4 documentation, ownership models, SOPs, controls, and governance. Define process KPIs, baselines, targets, dashboards, and reporting frameworks in partnership with Data and Technology teams. What You’ll Need to Succeed Technical & Functional Skills Hands-on transformation experience across at least two functions - R2R, O2C, and P2P. Practical knowledge of GenAI/Agentic AI, OCR/IDP, RPA, process mining, task mining, workflow automations and finance analytics. AI use case implementation experience is a must (Finance use case is preferred) Experience developing business cases, transformation roadmaps, process documentation, and KPI frameworks. Understanding of finance controls, data quality, auditability, privacy, and risk in automated or AI-enabled processes. Experience partnering with Product, Data, Engineering, Technology, Risk, or Compliance teams. Behavioral Attributes Strong stakeholder management and influencing skills. Structured, analytical, and data-driven problem solver. Collaborative and comfortable working across functions. Clear communicator who can explain complex topics simply. Pragmatic and outco…