Digital Business Services (DBS)

Our GCIO organisation plays a critical role for the bank. This team partners with the businesses to build the platforms, systems, and products that our customers use every day. We keep people’s money and data safe, and are at the forefront of driving innovation for our businesses, customers, and colleagues.

We are currently seeking an experienced professional to join our team.

In this role, you will:

We are seeking an experienced and forward-thinking Digital Product Manager (AI/GenAI) to drive the design, planning, and delivery of next-generation AI infrastructure and applications in a leading banking environment.

Reporting to Head of GBA Regulatory Engagement in HBCN, you will collaborate closely with AI engineering, data science, IT operations, and business innovation teams to define and evolve a robust, scalable AI product ecosystem that supports both foundational models and intelligent business applications.

Overall Accountabilities

· Lead end-to-end product lifecycle for one or more AI-related products: AI infrastructure, heterogeneous compute optimization, AI middleware, or AI Agent platforms.

· Translate business and technical needs into scalable, secure, and compliant AI product solutions aligned with banking regulatory requirements.

· Own product strategy, roadmap, and delivery timelines across internal stakeholders and external vendors.

· Ensure technical feasibility and operational reliability of AI product features, particularly in performance-critical banking use cases.

· Act as a thought leader in the integration of large language models (LLMs), AI compute orchestration, and AI-driven automation.

· Proactively engage with customers to gather feedback and drive continuous product improvements to meet evolving customer needs.

What you’ll do:

· Develop product vision and roadmap for AI infrastructure components, such as compute resource management, model training platforms, and AI Ops toolchains.

· Define requirements and oversee the development of AI middleware for model deployment, inference pipelines, and agent orchestration.

· Collaborate with engineering teams on implementing scalable and secure AI agent frameworks tailored to banking scenarios (e.g., smart assistants, task agents).

· Work with data and AI governance teams to ensure compliance with data privacy, cybersecurity, and model auditability requirements.

· Evaluate and manage partnerships with external AI vendors, cloud providers, and LLM providers for joint solution delivery.

· Collect feedback from internal business users and continuously refine the product features to meet evolving needs.