VP of AI & Data | Risk & Growth Architect

OCBC Bank

Singapore

On-site

SGD 150,000 - 230,000

Full time

48 hours ago
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Benefits offered by this job

Competitive salary
Flexible benefits
Community initiatives
Professional development

Job summary

OCBC Bank in Singapore seeks an AI & Data Analyst within Group Risk Management to develop practical AI and data use cases that drive growth, engagement, and efficiency. You will collaborate with data engineers, scientists, risk managers and business stakeholders to translate challenges into scalable AI and analytics solutions while ensuring governance and responsible AI.

The role emphasizes stakeholder management, cost estimation for GenAI workloads, and delivering measurable business outcomes

Qualifications

  • Degree in Analytics, Statistics, Mathematics, Computer Science, Information Systems, Business, Economics, or a related field.
  • 10+ years of experience in AI, data analytics, BI, or related discipline.
  • Ability to plan and manage end-to-end complex deliverables and timelines.
  • Experience in banking, financial services, or regulated industry is advantageous.

Responsibilities

  • Partner with stakeholders to understand objectives, define requirements, and develop AI & data-driven solutions.
  • Bridge between business, tech, and data teams to translate challenges into AI, digital, and data solutions.
  • Promote awareness of emerging technologies including AI, GenAI, Agentic AI, automation and analytics.

Skills

Data analytics
AI
Project planning
Stakeholder engagement

Education

Analytics/Statistics/Math/CS/IS/Business/Economics degree

Job description

OCBC Bank in Singapore seeks an AI & Data Analyst within Group Risk Management to develop practical AI and data use cases that drive growth, engagement, and efficiency. You will collaborate with data engineers, scientists, risk managers and business stakeholders to translate challenges into scalable AI and analytics solutions while ensuring governance and responsible AI.

The role emphasizes stakeholder management, cost estimation for GenAI workloads, and delivering measurable business outcomes

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