Job Description

Reporting to the GM of AI Transformation Department (AID), Asia, this role will drive the solution analysis, design and delivery management of AI and Generative AI use cases across SMBC and Customers. This role sits within the AI Transformation Department (AID) and focuses on translating business needs into practical, scalable AI solutions for both internal stakeholders and selected client-facing initiatives.

The Role Responsibilities

The Vice President, AI Solutions Delivery AI Execution focus including business design, solution identification and delivery of high-impact AI and Generative AI use cases across SMBC and Customers. This role sits within the AID and focuses on translating business needs into practical, scalable AI solutions for both internal stakeholders and selected client-facing initiatives.

This is a business-led AI role. The successful candidate will work closely with business units, product teams, and internal/external technology partners to shape use cases, define solution approaches, and ensure successful hands-on delivery of AI solutions that create measurable business value.

Key Responsibilities:

1. Business Needs Identification & Use Case Development

• Partner with business units to identify, assess, and prioritize AI opportunities aligned to strategic objectives.
• Conduct business analysis, value assessment, and feasibility evaluation for AI use cases.
• Translate business problems into clear AI solution concepts and implement roadmaps. Define success metrics, ROI, and adoption strategies.

2. AI Solution Design & Transfromation management

• Design practical AI and GenAI solutions including:
• Copilots and workflow automation
• Knowledge assistants and document intelligence
• Decision support and analytics use cases
• Customer and operations productivity solutions
• Work hands-on with delivery teams to develop prototypes, pilots, and production implementations.
• Support activities such as prompt design, model selection, evaluation, and solution configuration.
• Ensure solutions are scalable, secure, and aligned to enterprise standards.

3. Collaboration with Technology Teams & Partners

• Work closely with internal IT, data, and platform teams to enable solution implementation.
• Collaborate with external vendors, system integrators, and client technology teams where applicable.
• Act as the functional bridge between business stakeholders and technical delivery teams.
• Support integration of AI solutions into existing business processes and systems.

4. Internal & External Engagement

• Support AI initiatives for internal transformation as well as selected client or partner-facing solutions.
• Facilitate workshops, ideation sessions, and use case discovery engagements.

5. Governance & Responsible AI

• Ensure solutions comply with SMBC policies, regulatory expectations, and Responsible AI principles.
• Incorporate controls such as data governance, model transparency, human oversight, and risk management.
• Work with risk, compliance, IT, security and model governance teams during solution implementation.

Qualifications & Experience:

• Bachelor’s degree.
• 10+ years of experience in business process and or communication, transformation with strong business engagement.
• Proven hands-on experience delivering Generative AI solutions from use case definition through implementation.
• Experience working closely with business stakeholders to translate requirements into deployed solutions.
• Experience collaborating with cross-functional teams including IT, data, and external vendors.
• Preferred:
  • Experience in banking, financial services, or other regulated industries.
  • Experience in consulting or change management or client-facing solution development.
  • Familiarity with Responsible AI, model risk, and regulatory considerations.

Key Competencies:

• Strong business analysis and problem-solving capability
• Ability to translate business needs into practical AI solutions
• Hands-on delivery mindset with execution focus
• Stakeholder management and communication
• Collaborative approach across business, IT, and external partners
• Outcome-driven with focus on measurable value