Senior Analyst, GenAI Marketing (Bangkok Based, Relocation Provided)

Agoda, part of Booking Holdings, operates a global travel platform that links millions of travelers with hotels, flights and experiences. The company is expanding its Marketing function with a Senior Analyst, GenAI Marketing who will sit at the crossroads of data, product development and generative AI to create AI‑enhanced marketing workflows. In this role you will pinpoint recurring marketing processes where generative AI can boost speed, quality or decision‑making, quantify the current effort and potential value, and turn those insights into clear product specifications, user journeys and success metrics. You will prototype solutions using SQL, Python and automation tools, collaborate with developers and marketing owners to evolve prototypes into reliable products, and design evaluation frameworks that cover accuracy, reliability, usability and safety. You will also lead user research, pilot tests, rollout, documentation and training, while tracking saved hours, turnaround improvements and adoption rates, and keep senior leaders informed of progress and lessons learned. To succeed you need 4‑6 years of experience in analytics, product analytics, marketing strategy, business operations, consulting or product management, together with a bachelor's degree or higher in a quantitative, technical or business discipline such as computer science, engineering, mathematics, statistics, economics or finance. Strong SQL expertise and the ability to work independently with large or complex data sets are essential, as is hands‑on experience with Python, scripting or workflow automation. You must be comfortable defining hypotheses, designing experiments and converting results into actionable business recommendations, and possess solid product thinking that translates user problems into scoped, prioritized requirements. Excellent written and spoken English, proven stakeholder‑influence skills, a strong sense of ownership, attention to detail and the ability to collaborate across Marketing, Analytics, Product and Technology teams are also required. Experience building GenAI applications, AI agents or automated analytical workflows, familiarity with prompting, retrieval‑augmented generation, APIs, model evaluation and human‑in‑the‑loop processes, and use of AI‑assisted development tools such as Codex, Cursor, Claude Code or Google AI Studio are explicitly listed. Additional assets include experience writing product requirements, managing backlogs and scaling internal products, knowledge of digital and performance marketing, experimentation, SEO/AEO, campaign operations or personalization, and a background in establishing quality‑assurance or monitoring processes for data or AI products. Experience deploying internal tools or working closely with software engineers on production systems is also valued. The position is based in Bangkok with relocation support, offering the chance to join a multicultural team of over 7,000 people from 90 countries and to shape AI‑driven marketing capabilities that directly impact global travel experiences. What the role asks for: - 4–6 years analytics or related experience - Bachelor's degree in quantitative/technical/business field - Strong SQL skills with large datasets - Hands‑on Python and workflow automation experience - Experience defining hypotheses and experiments - Proven product thinking and requirement definition - Ability to structure ambiguous problems quickly - Excellent written and verbal English communication - Stakeholder‑influence and clear concept communication - Ownership, detail‑orientation and high‑quality delivery - Cross‑functional collaboration across Marketing, Analytics, Product, Technology - Experience building GenAI applications or AI agents - Familiarity with prompting, retrieval‑augmented generation, APIs, model evaluation, human‑in‑the‑loop workflows - Use of AI‑assisted development tools (Codex, Cursor, Claude Code, Google AI Studio) - Nice-to-have: product backlog management and scaling prototypes - Nice-to-have: knowledge of digital/performance marketing, SEO/AEO, personalization - Nice-to-have: quality‑assurance processes for data or AI products - Nice-to-have: deploying internal tools with software engineers