About the role
AI summarisedVP, System Analyst for Enterprise Analytics at UOB, a leading Asian bank. The role focuses on driving Agentic AI solutions within the AURA program, requiring deep expertise in enterprise GenAI platforms and banking domain knowledge to translate AI capabilities into business value.
BusinessFull-timeGeneral
Key Responsibilities
- Demonstrate strong technical and functional understanding of enterprise-grade Generative AI platforms.
- Translate platform capabilities into practical use cases tailored to bank operations and strategic priorities.
- Work closely with technology teams to ensure alignment with architectural, security, and compliance standards.
- Apply deep knowledge of the banking domain to conceptualize impactful Agentic AI solutions.
- Identify opportunities for automation, intelligent decisioning, and AI-driven workflow optimization.
- Develop solution blueprints that align AI capabilities with business objectives.
- Engage and coordinate with cross-functional stakeholders across business, technology, compliance, and operations.
- Establish and manage value chains and delivery frameworks for Agentic AI-driven initiatives.
- Ensure smooth adoption, governance alignment, and measurable value realization for all deployed solutions.
- Act as a core member of the AURA team, collaborating to reinvent and scale Agentic AI solutions across UOB.
- Support the design and execution of the AURA roadmap, ensuring high-impact delivery and organizational readiness.
- Contribute to thought leadership, best practices, and continuous enhancement of the Agentic AI ecosystem.
Requirements
- Strong understanding of Enterprise GenAI architectures, tools, and platforms.
- Proven experience in banking or financial services, especially around digital transformation or AI initiatives.
- Hands-on experience with GenAI/LLM-based solutions, preferably Agentic AI architectures.
- Excellent stakeholder management, communication, and cross-functional coordination skills.
- Ability to connect business needs with AI capabilities to deliver meaningful outcomes.
- Expertise around LLM orchestration, RAG patterns (hybrid search, vector DBs), tool/function calling, multi-tenant isolation, and API gateways.
- Analyse and understanding of multi-agent systems with planners, critics, and executors; implement tool ecosystems (KYC/AML services, document parsers, workflow engines), and safety guardrails (policy engines, content filters, PII redaction).
- Embed controls aligned to MAS, data residency, encryption (at rest/in transit), RBAC/ABAC, secrets management, audit trails, model/content governance (human-in-the-loop), lineage, and explainability for regulated use cases (credit ops, compliance, ops risk).
- Establish eval suites around task success, hallucination, toxicity, bias, prompt/model drift detection, and continuous delivery of prompts, agents, and tools.
- Translate business workflows into AI blueprints; integrate with bank systems.
- Over 10 years of experience in delivering enterprise-scale data and analytics solutions, with budgetary and strategic responsibility.
- Minimum 5 years of leadership experience managing diverse IT delivery teams.
- Excellent communication skills with both technical and non-technical stakeholders.
- Proven ability to lead defect triage, resolution, and reporting processes.