Position overviewPosted 1 month ago

Finance Transformation Manager (AI/Task Mining)

Agoda →
Full-time8+ years

Bangkok, Thailand

Compensation
THB 120,000 - THB 200,000
THB / month

Estimated range. Confirm compensation with the employer.

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Listing record updated: August 20, 2026. We archive records after 60 days without an update. This date does not confirm that the employer is still hiring.

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About the position

This role leads AI-enabled process transformation across Finance Operations, focusing on Record to Report (R2R), Order to Cash (O2C), and Procure to Pay (P2P). You will combine finance process expertise with continuous improvement, task and process mining, and intelligent automation to enhance efficiency, scalability, and data quality. The position involves identifying high-value transformation opportunities, translating finance pain points into practical digital solutions, and collaborating with cross-functional teams including Product, Data, Engineering, and Technology to deliver sustainable outcomes. You will manage the full transformation pipeline from opportunity identification and business-case development through solution design, pilot, implementation, adoption, and benefit realization.

You will lead end-to-end finance transformation initiatives, assess processes using process mining and data analysis, and identify use cases for GenAI, machine learning, OCR/IDP, RPA, and workflow automation. The role requires developing business cases, transformation roadmaps, and pilot plans while evaluating AI tools and automation platforms based on business value, usability, and integration complexity. You will establish appropriate controls for AI-enabled processes, design Finance process-management standards, and define process KPIs and reporting frameworks in partnership with Data and Technology teams.

Responsibilities

  • 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 cross-functional teams
  • Develop business cases, transformation roadmaps, pilot plans, and benefits-tracking frameworks
  • Evaluate AI tools, automation platforms, and vendors based on business value, usability, and integration complexity
  • 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

Requirements

  • Bachelor’s degree in Finance, Accounting, Business, Engineering, Information Systems, or a related discipline
  • At least 8 years of relevant experience in finance transformation, finance operations excellence, process improvement consulting, intelligent automation, or a similar role
  • Solid understanding of finance operations processes, including Order-to-Cash (OTC), Procure-to-Pay (PTP), and Record-to-Report (RTR)
  • Practical knowledge of relevant technologies, including GenAI and Agentic AI, OCR/IDP, RPA, Process and task mining, Workflow automation, and Finance analytics
  • Proven knowledge of Business Process Management, including building process inventories and L3/L4 process documentation
  • Understanding of finance controls, data quality, auditability, privacy, and risk in automated or AI-enabled processes
  • Experience partnering with cross-functional teams such as Product, Data, Engineering, Technology, Risk, or Compliance

Nice to have

  • Experience in e-commerce, travel, technology, fintech, or other digital-first industries
  • Experience implementing AI use cases specifically within Finance, Accounting, or Controllership
  • Professional qualifications or certifications in Finance, Accounting, Project Management, Process Excellence, Data, or Technology

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