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Test Req Job For New Position09102025-163825

300005 Chief Executive's Office_00002555

Singapore

On-site

SGD 60,000 - 80,000

Full time

Today
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Job summary

A leading financial institution in Singapore is seeking a professional to drive the governance of generative AI technologies within its operations. The ideal candidate will have 8-10 years of leadership experience in banking, emphasizing AI governance and risk management. Responsibilities include developing a governance framework, collaborating with cross-functional teams, and providing guidance to senior management. Strong communication skills and an advanced degree in a relevant field are essential for success in this role. The position offers a competitive salary and benefits, promoting a dynamic development environment.

Benefits

Competitive salary and benefits package
Dynamic development environment

Qualifications

  • 8-10 years of experience in a leadership role in banking or financial services focusing on AI governance.
  • Proven track record of driving organizational change.
  • Familiarity with regulations and best practices related to AI governance.

Responsibilities

  • Develop and implement a governance framework for the ethical use of Gen-AI technologies.
  • Establish policies for compliance with regulations and best practices.
  • Provide expertise to senior management on AI opportunities.

Skills

Expertise in AI/ML principles
Leadership in AI governance
Communication and stakeholder management
Analytical and problem-solving skills
Understanding of prompt engineering

Education

Advanced degree in computer science or data science
Job description
Job Description - Test Req Job For New Position09102025-163825 (WD78093)
Job Description
Business Function
Responsibilities
  • Develop and implement a comprehensive governance framework for the responsible and ethical use of generative AI (Gen-AI) technologies within DBS Bank's operations and service offerings
  • Establish policies, guidelines, and control measures to ensure compliance with relevant regulations, industry standards, and best practices related to Gen-AI deployment
  • Collaborate with cross-functional teams, including technology, risk, compliance, and business units, to identify and mitigate potential risks and challenges associated with the integration of Gen-AI
  • Provide subject matter expertise and advisory support to senior management on the strategic implications and opportunities of leveraging Gen-AI within the banking industry
  • Oversee the development and implementation of robust prompt engineering practices to ensure the reliability, transparency, and accountability of Gen-AI models used within the bank
  • Establish and maintain a comprehensive AI literacy program to educate and empower employees on the responsible use of Gen-AI technologies
  • Monitor industry trends, regulatory developments, and emerging best practices related to Gen-AI governance, and continuously adapt the bank's approach to stay ahead of the curve
Requirements
  • Advanced degree in computer science, data science, or a related field, with a strong understanding of AI/ML principles and applications
  • Minimum 8-10 years of experience in a leadership role, preferably in the banking or financial services industry, with a focus on AI governance and risk management
  • Demonstrated expertise in developing and implementing comprehensive governance frameworks for the responsible use of emerging technologies, including a deep understanding of prompt engineering and its implications
  • Excellent communication and stakeholder management skills, with the ability to translate complex technical concepts into business-friendly language
  • Strong analytical and problem-solving skills, with the ability to identify and mitigate potential risks and challenges associated with the deployment of Gen-AI
  • Proven track record of driving organizational change and fostering a culture of AI literacy and responsible innovation
  • Familiarity with relevant regulations, industry standards, and best practices related to AI governance, data privacy, and ethical AI
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