Agoda - AI & Automation Team Lead / Specialist
Requirements
• Bachelor’s degree in Computer Science, Information Systems, Engineering, Finance, Business, or a related field; equivalent practical experience may also be considered. • 7+ years of relevant experience in automation, software engineering, data engineering, intelligent workflows, business analysis, or digital transformation. • Experience personally delivering a production solution from discovery through implementation and support. • Strong programming experience in Python or a similar language. • Experience designing solutions across data, applications, APIs, workflows, and business processes. • Experience with testing, monitoring, exception handling, and production support. • Experience assessing business challenges and identifying the most effective solution, whether through process redesign, custom development (code), low-code/no-code platforms, RPA, AI or other technology-enabled approaches. • Strong analytical, problem-solving, communication, and stakeholder management skills. • Ability to lead a workstream, clarify ownership, review quality, and support team members. • Experience with Power Automate, Power Apps, Copilot Studio, AI Builder, UiPath, Blue Prism, or similar tools. • Experience with GenAI, LLM, RAG, OCR, intelligent document processing, or process mining. • Experience with APIs, SQL, data pipelines, ETL/workflows, Git, or CI/CD. • Experience in Finance, FinTech, tax technology, e-commerce, or marketplace businesses. • Knowledge of audit, SOX, access controls, or change management. • Lean Six Sigma or other process improvement experience.
Responsibilities
• Lead the discovery, design, delivery and ongoing maintenance of automation solutions for Finance and FinTech teams, including new initiatives, change requests, process enhancements, production support, incident resolution activities. • Map process and data flows, identify pain points, and recommend suitable solutions using code, low-code, no-code, RPA, APIs, or AI. • Design and develop production-grade solutions and reusable automation components. • Support AI-enabled use cases such as data extraction, classification, workflow routing, reconciliation support, and exception handling. • Own testing, monitoring, controls, exception handling, documentation, and production support. • Define success measures and deliver improvements in efficiency, accuracy, straight-through processing, and operational risk. • Partner with Finance SMEs, data owners, Product, Engineering, and other stakeholders. • Break down work, clarify ownership, review detailed solutions, and support team members. • Communicate progress, risks, dependencies, and technical concepts clearly to stakeholders. • Success will be demonstrated through: • End-to-end delivery of reliable production automation solutions. • Measurable reductions in manual effort, errors, processing time, or operational risk. • Increased automation adoption and straight-through processing. • Strong controls, monitoring, documentation, and production support. • Effective collaboration with business and technology stakeholders. • Evidence of coaching and supporting team members.
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