Product Owner AI

The AI Product Owner is responsible for owning and driving the delivery of AI products in APAC, with a primary focus on rapid iteration, scalability, and commercialization of customer-facing AI capabilities. The role acts as the single point of accountability for translating business and customer needs into a prioritised product backlog, ensuring AI products are delivered efficiently through agile ways of working and are ready for market adoption across APAC.

Key Responsibilities

1. Product Ownership & Backlog Management

• Own the product vision and roadmap for assigned AI products within APAC.

• Translate business requirements, customer needs, and commercial opportunities into epics, user stories, and acceptance criteria.

• Create, maintain, and prioritise the product backlog based on business value, scalability, and delivery feasibility.

• Act as the final decision maker on backlog prioritisation and scope trade-offs.

2. Agile Delivery & Iteration

• Work closely with Engineering, Data Science, Design, and Delivery teams to ensure clear, actionable requirements ahead of sprint execution.

• Lead and participate in backlog refinement, sprint planning, sprint reviews, and retrospectives.

• Enable fast build–measure–learn cycles through incremental delivery and feedback loops.

• Ensure delivery aligns with agreed timelines, capacity, and quality standards.

3. AI Product Commercialisation

• Drive customer-facing AI product readiness, including MVP definition, feature packaging, and rollout sequencing.

• Partner with commercial and go-to-market teams to ensure AI capabilities are demo-ready and usable by customers and partners.

• Support pilots and early launches, capturing feedback and optimising adoption.

• Track and optimise outcomes such as usage, conversion uplift, automation rate, and operational efficiency.

4. Scalability & Reusability

• Design AI solutions with a build-once, reuse-many mindset across APAC markets.

• Identify opportunities where AI drives operational scalability and cost efficiency.

• Promote standardisation of features, APIs, and configurations to minimise market-specific customisation.

5. Stakeholder Management & Communication

• Act as the primary product interface between business stakeholders, technical teams, and delivery functions.

• Facilitate alignment across regional and global stakeholders on scope, priorities, risks, and dependencies.

• Communicate product progress and decisions using structured artefacts such as roadmaps and release notes.

Key Deliverables

• Product vision and roadmap

• Prioritised product backlog

• Sprint-ready requirements and clarifications

• Demoable AI product increments

• Adoption and performance insights

• Inputs to commercial rollout and scaling plans

Key Stakeholders Internal

Product Management, Engineering & Data Science, Platform & Delivery Teams, Operations, Commercial / Sales / Go-to-Market, Security, Privacy, and Compliance

External (as required)

Customers, distribution partners, and AI technology vendors

Required Skills & Experience Product / Business Analysis Capabilities

• Proven experience as a Product Owner, Product Manager, or Senior Business Analyst in agile delivery environments.

• Strong ability to translate complex requirements into clear functional stories and acceptance criteria.

• Hands-on experience working with cross-functional delivery teams.

AI & Digital Product Experience

• Experience delivering AI-enabled or data-driven products (e.g. GenAI, automation, predictive analytics).

• Hands-on experience developing or delivering customer-facing AI applications is a strong plus.

• Ability to work effectively with Data Science and Engineering teams.

• Understanding of AI product lifecycle concepts including iteration and human-in-the-loop workflows.

Commercial & Regional Context

• Experience delivering products across multiple markets, preferably within APAC.

• Strong commercial mindset focused on time-to-market, scalability, and customer adoption.

Ways of Working

• Strong stakeholder management and facilitation skills.

• Comfortable operating in fast-paced, ambiguous environments.

• Outcome-driven and delivery-focused.

Language Requirements

• Fluent English (written and spoken) – mandatory.

• At least one APAC language preferred: Korean and/or Japanese (if any).

Success Measures

• Reduced time from idea to production for AI features.

• Adoption and usage of customer-facing AI products.

• Reusability of AI capabilities across APAC markets.

• Alignment between business objectives and delivered AI functionality.