AI Product Owner

Michael Page; Bangsar; On-site; PHP 5,549,000 - 9,248,000; Full time

Benefits offered by this job

Permanent role in Bangsar South City

Work on cutting‑edge AI technologies

Collaborative professional environment

Career growth opportunities

Job summary

Michael Page is seeking an AI Product Owner to lead the product vision and roadmap for assigned AI products in APAC. You will translate business needs into epics, user stories and acceptance criteria, and maintain a prioritized backlog based on value, scalability and delivery feasibility.

You will work with Engineering, Data Science, Design and Delivery teams to ensure clear requirements before sprint execution, and drive MVP definition, rollout sequencing and product readiness across APAC

Qualifications

• Strong background in product management, with AI/tech focus.
• Experience in financial services or related field.
• Excellent communication and collaboration with diverse teams.

Responsibilities

• Own the product vision and roadmap for APAC AI products.
• Translate business needs into epics, stories and acceptance criteria.
• Maintain and prioritise the backlog by value and feasibility.
• Act as final decision-maker on backlog priorities and scope.
• Lead agile ceremonies and ensure clear requirements before sprints.
• Define MVPs, rollout sequencing and product readiness.

Skills

Product management

AI/ML

Technology

Financial services

Communication

Stakeholder management

Strategy

Education

Bachelor's degree in CS/Engineering/Business

Job description

• 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.
• 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 demoready 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.
• 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

• 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

Key Responsibilities1. 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 demoready 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

• 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

Professional Career Growth & DevelopmentFlexible Working Arrangement

A successful AI Product Owner should have:

• A strong background in product management, particularly in AI or technology‑based solutions.
• Experience in the financial services industry or a related field.
• Proficiency in understanding AI technologies and their applications in solving business challenges.
• Excellent communication and collaboration skills to work effectively with diverse teams.
• Strategic thinking and a results‑driven mindset to achieve product success.
• An educational qualification in a relevant discipline, such as Computer Science, Business, or Engineering.

This opportunity is with a large organization in the financial services industry, recognized for its commitment to leveraging advanced technology to deliver innovative solutions. The company fosters a professional environment that supports the development of high‑quality, cutting‑edge products.

• A permanent role in the vibrant location of Bangsar South City.
• Opportunities to work on cutting‑edge AI technologies within the financial services industry.
• Exposure to a collaborative and professional work environment.
• Potential for career growth and development within a large organization.