Product Owner – AI Squad

1. Experience: - Proven Track Record: At least 5 years of product management or product ownership experience, specifically launching data-driven products or software systems with demonstrable business impact. - Regulated Environments: Experience working within banking, financial services, or highly regulated, security-sensitive industries is a strong advantage. - AI Exposure: Prior experience managing products that leverage machine learning, natural language processing, or LLM-based architectures is highly valued. 2. Core Skills: - Business Architecture: Ability to break down complex manual operations into clear functional steps, logical decision trees, and data flows. - Technical Literacy: Comfortable discussing APIs, core integration challenges, RAG pipelines, and data models without getting lost in the details. - Stakeholder Synthesis: Exceptional ability to align senior business executives, risk officers, and technical engineers around a single execution roadmap. 3. How You Operate: - Outcome-Obsessed: You measure your success in CIR basis points and revenue lift, not by how many features you release. - Embedded and Fearless: You are completely comfortable sitting directly with line operators, learning a complex domain from scratch, and presenting hard truths to leadership. - Bias to Ship: You prioritize getting an imperfect but highly useful tool into production for fast iteration and tight feedback loops over waiting for a perfect theoretical design. - Bilingual Communication: Strong communication skills to translate highly technical concepts for non–technical stakeholders. Professional fluency in both Vietnamese and English is highly preferred. 4. How We Measure Success (First 12 Months): - Production Launch: Successfully launch and drive deep adoption of production AI systems inside at least 2 business divisions. - Measurable CIR Reduction: Deliver verified cost improvements through the automation of manual workflows under your purview. - Measurable Revenue Lift: Prove clear topline value via increased penetration, higher campaign conversion, or cross-sell lift driven by personalization systems.

1. Experience: - Proven Track Record: At least 5 years of product management or product ownership experience, specifically launching data-driven products or software systems with demonstrable business impact. - Regulated Environments: Experience working within banking, financial services, or highly regulated, security-sensitive industries is a strong advantage. - AI Exposure: Prior experience managing products that leverage machine learning, natural language processing, or LLM-based architectures is highly valued. 2. Core Skills: - Business Architecture: Ability to break down complex manual operations into clear functional steps, logical decision trees, and data flows. - Technical Literacy: Comfortable discussing APIs, core integration challenges, RAG pipelines, and data models without getting lost in the details. - Stakeholder Synthesis: Exceptional ability to align senior business executives, risk officers, and technical engineers around a single execution roadmap. 3. How You Operate: - Outcome-Obsessed: You measure your success in CIR basis points and revenue lift, not by how many features you release. - Embedded and Fearless: You are completely comfortable sitting directly with line operators, learning a complex domain from scratch, and presenting hard truths to leadership. - Bias to Ship: You prioritize getting an imperfect but highly useful tool into production for fast iteration and tight feedback loops over waiting for a perfect theoretical design. - Bilingual Communication: Strong communication skills to translate highly technical concepts for non–technical stakeholders. Professional fluency in both Vietnamese and English is highly preferred. 4. How We Measure Success (First 12 Months): - Production Launch: Successfully launch and drive deep adoption of production AI systems inside at least 2 business divisions. - Measurable CIR Reduction: Deliver verified cost improvements through the automation of manual workflows under your purview. - Measurable Revenue Lift: Prove clear topline value via increased penetration, higher campaign conversion, or cross-sell lift driven by personalization systems.