AI Product Owner

Location : Bangkok Rama 3, Thailand (Hybrid)

Key Responsibilities

• Gather and analyze business requirements from stakeholders and clients.
• Define, prioritize, and manage the product backlog.
• Translate business requirements into user stories and acceptance criteria.
• Ensure product features align with business objectives and customer needs.
• Monitor project progress and manage scope, priorities, and dependencies.
• Support user acceptance testing (UAT) and product releases.
• Identify opportunities for product enhancements and process improvements.
• Stay informed about insurance industry trends, regulations, and emerging technologies.
• Identify and evaluate opportunities to integrate AI solutions (e.g., generative AI, machine learning, chatbots, intelligent automation) into products and workflows to improve efficiency and customer experience.
• Collaborate with data /engineering teams to define requirements and success metrics for AI-driven features.
• Translate AI/ML capabilities and limitations into clear business requirements, user stories, and acceptance criteria for development teams.
• Evaluate AI vendor solutions and tools, assessing feasibility, cost, and fit with business needs.
• Ensure AI-powered features comply with data privacy, security, and relevant insurance industry regulations.
• Monitor and analyze the performance of AI features post-launch, using data-driven insights to guide iteration and improvement.
• Stay updated on emerging AI trends and technologies relevant to the insurance industry (e.g., claims automation, underwriting AI, fraud detection, customer service AI).

Qualifications (English)

• Bachelor's degree in Business Administration, Information Technology, Computer Science, or a related field.
• 3-5+ years of experience as a Product Owner, Business Analyst, or similar role, preferably within the insurance or financial services industry.
• Solid understanding of Agile/Scrum methodologies and product backlog management tools (e.g., Jira, Confluence, Azure DevOps).
• Strong analytical and problem-solving skills, with the ability to translate complex business requirements into clear user stories and acceptance criteria.
• Basic understanding of AI/ML concepts (e.g., generative AI, machine learning, chatbots, intelligent automation) and their practical applications in business products.
• Experience working with data science, engineering, or technology teams to define and deliver data- or AI-driven features.
• Familiarity with insurance industry processes (e.g., underwriting, claims, policy administration) is a strong advantage.
• Knowledge of data privacy, security, and regulatory requirements relevant to insurance and AI applications (e.g., PDPA).
• Excellent communication and stakeholder management skills, with the ability to work effectively with both business and technical teams.
• Strong prioritization skills and ability to manage multiple projects and competing priorities.
• Good command of English (spoken and written)