Role Description :
The Generative AI Use Case Design Lead is responsible for identifying, validating, and shaping highimpact Generative AI and Agentic AI use cases across CIMB. This role sits at the intersection of product strategy, user experience, design thinking, and applied AI innovation. It requires deep customer empathy, strong problemframing skills, and the ability to translate business challenges into humancentred, AIenabled solutions.
The role drives user research, journey mapping, competitor and market scanning, and rapid prototyping to ensure CIMB develops differentiated, scalable, and compliant AI products. Working closely with business stakeholders, data scientists, engineers, and product managers, the Use Case Design Lead ensures each AI initiative is rooted in validated customer needs, operational realities, and measurable business value.
Strong skills in Agile user research, product management and a deep understanding of data and AI technologies is a must. Experience in the banking or financial services industry is important but ultimately, not mandatory.
Key Responsibilities *
A. Generative AI Use Case Discovery & Strategy
- Lead structured discovery processes to identify and prioritise highvalue AI use cases across business units and support functions.
- Conduct competitive and industry research to benchmark global GenAI innovations and identify opportunities for CIMB differentiation.
- Translate business problems into clear problem statements, hypotheses, and welldefined opportunity areas.
- Facilitate design thinking workshops, ideation sessions, and cocreation engagements with users and SMEs.
B. User Research & Experience Design
- Drive endtoend user research, including interviews, contextual inquiry, shadowing, and usability testing.
- Map customer and employee journeys, identifying friction points where Generative or Agentic AI can create transformative value.
- Ensure all AI solutions deliver ethical, humancentred experiences aligned with CIMB's brand and regulatory obligations.
C. GenAI Product Concepting & Prototyping
- Translate research insights into AI product concepts, mockups, and lowfidelity prototypes for early validation.
- Collaborate with data scientists, engineers, and UX designers to build rapid AI prototypes using available platforms and tools.
- Test and iterate prototypes to achieve clear productmarket and usability validation before full buildout.
D. Business Case Development & Prioritisation
- Develop measurable value frameworks including cost savings, revenue uplift, productivity, customer experience improvements, and risk mitigation.
- Articulate the business case, success metrics, and feasibility assessments.
- Support prioritisation discussions with GDAI leadership and other stakeholders.
E. Execution Support & CrossFunctional Collaboration
- Partner with GenAI Product Managers and delivery teams to ensure research insights and design intent are preserved through build and deployment.
- Support compliance, model risk, governance, and technology teams by ensuring design artefacts and decision logs meet regulatory expectations.
F. Thought Leadership & Capability Building
- Act as an internal evangelist for humancentred AI design, continuously promoting best practices in research, experimentation, and validation.
- Coach business teams on how to identify, evaluate, and implement AI opportunities.
- Contribute to CIMB's external leadership position through insights, frameworks, and innovation showcases.
Key Dimension of Impact *
Financial
- Direct impact on value creation through validated AI use cases contributing to revenue uplift, cost reduction, and process efficiency.
- Influences investment decisions on AI initiatives.
NonFinancial
- Drives discovery and validation for 10+ AI use cases annually.
- Impacts customer and employee experience through AIenabled service models.
- Supports governance and compliance objectives of GDAI.
- Influences crossfunctional collaboration across product, operations, technology, compliance, and business divisions.
Job Specification *
Qualifications
(Basic Degree/Diploma etc)
Bachelor's degree in Computer Science, Data Science, Information Technology, Business Administration, or a related field.
Professional Qualification and/or Regulatory, Licensing requirements
- Certification in Project Management (e.g., PMP, PRINCE2) or Agile methodologies (e.g., Certified ScrumMaster) is desirable.
Relevant Work Experience
- 10+ years of experience in product management, design, data, analytics or related field.
- Proven experience leading projects related to data analytics, machine learning, or AI.
- Experience with project management methodologies such as Agile, Lean, Scrum, or Waterfall.
Required Competencies and Skills *
Competencies/Skills
(Essential to succeed in this job)
Technical/Functional Skills:
- Strong understanding of LLMs, RAG pipelines, multimodal models, prompt engineering, and Agentic AI frameworks.
- Understanding of AI governance, model risk, data privacy, bias detection, explainability, and regulatory requirements
- Expertise in qualitative and quantitative research (interviews, observation, journey mapping, usability testing).
- Skilled at translating business challenges into validated AI use cases and measurable value hypotheses.
- Understanding of data pipelines, APIs, and model integration to collaborate effectively with engineers and data scientists.
- Capability to perform market and competitor analyses, emerging technology tracking, and benchmark studies relevant to GenAI.
Personal skills (Soft Competencies [Core/Leadership]):
- Forwardlooking mindset to identify innovative, highvalue AI opportunities for CIMB.
- Ability to balance innovation with regulatory, ethical, and operational constraints.
- Excellent communication and stakeholder management skills
- Comfortable navigating between business, technology, governance, and regulatory teams.
- Highly organized, with ability to manage multiple discovery tracks concurrently.
- Strong ideation skills with a structured, analytical approach to validation and prioritization.
