Senior Vice President, AI Product Owner - AI Hub

We are seeking a future team member for the role of Senior Vice President, AI Product Owner to join our Singapore AI Hub team. This role will focus primarily on developing and delivering AI-enabled products, while also supporting engagement with local clients and business stakeholders across the region.

The successful candidate will translate business needs into practical, responsible, and scalable AI solutions. The role will work across product, engineering, data science, design, risk, and governance teams to support product delivery, adoption, and measurable outcomes.

In this role, you’ll make an impact in the following ways:

• Drive the development and delivery of AI-enabled products that address business and client needs.
• Translate business needs into clear product strategies, roadmaps, requirements, user stories, acceptance criteria, and measurable outcomes.
• Manage the end-to-end product lifecycle, from opportunity identification and prototyping through governance, delivery, adoption, and ongoing optimization.
• Partner with AI engineers, data scientists, designers, architects, operations teams, and subject-matter experts to develop secure, scalable, and user-centered AI solutions.
• Apply capabilities such as large language models, retrieval-augmented generation, intelligent automation, agentic workflows, and predictive analytics to relevant business challenges.
• Connect identified opportunities with existing AI Hub platforms and reusable capabilities to accelerate delivery and avoid duplication.
• Define and track success measures, including adoption, client experience, workflow efficiency, cycle-time improvement, risk reduction, and measurable business value.
• Develop adoption plans that help users understand, trust, and effectively use AI-enabled products.
• Ensure products meet applicable requirements for responsible AI, data privacy, security, model risk, operational resilience, and regulatory governance.
• Support engagement with local clients and business stakeholders across the region to understand their needs, gather feedback, and identify potential AI use cases.
• Participate in client workshops, discovery sessions, demonstrations, and solution-design discussions as required.
• Provide clear updates on product progress, adoption, value realization, risks, and dependencies.
• Monitor emerging AI technologies, market developments, and regulatory expectations to inform product priorities.
• Contribute to strong AI product-management practices within the AI Hub team.

To be successful in this role, we’re seeking the following:

• Bachelor’s degree in Business, Computer Science, Engineering, Data Science, Finance, or a related discipline, or equivalent professional experience.
• 9 to 11 years of experience in product management, product ownership, digital transformation, or related roles, including experience delivering AI, machine-learning, data, or intelligent-automation products.
• Proven experience developing and launching AI-enabled products that deliver measurable client or business value.
• Strong product-management capabilities, including product strategy, roadmap development, prioritization, backlog management, experimentation, adoption planning, KPI definition, and value measurement.
• Strong understanding of AI and machine-learning capabilities, including large language models, retrieval-augmented generation, agentic AI, model evaluation, intelligent automation, and human-in-the-loop workflows.
• Experience working with engineering, data science, design, operations, risk, compliance, cybersecurity, and governance teams in a complex enterprise environment.
• Experience gathering requirements and translating complex business challenges into actionable product plans.
• Experience engaging with clients and business stakeholders to understand needs, validate solutions, and gather feedback.
• Experience in banking, securities services, financial services, or another regulated industry is preferred.
• Strong communication and stakeholder-management skills, with the ability to explain AI opportunities, limitations, risks, and value to technical and non-technical audiences.
• Ability to influence without direct authority and balance product needs with enterprise technology, governance, and risk standards.
• A practical, product-focused mindset with the judgment to move quickly while maintaining appropriate governance and operational discipline.