AI Governance (GDMO) (ED/VP)

ocbc; Singapore; Sur place; SGD 180 000 - 260 000; Plein temps

Résumé du poste

OCBC Bank is seeking an experienced leader to shape the Group's AI governance and model risk framework. You will drive governance reviews, ensure risk-based controls across Gen AI and Agentic AI use, and collaborate with technology and business teams.

The role requires strong stakeholder management, problem-solving, and the ability to translate complex AI concepts into clear guidance. You will stay ahead of regulatory developments and maintain thorough documentation and audit trails.

Qualifications

• 8–10 years of AI governance or model risk management experience.
• Experience with implementing AI, Gen AI or Agentic AI guardrails.
• Familiarity with AI data governance, risk management practices, or regulatory requirements.
• Strong knowledge of AI, machine learning, Gen AI, and Agentic AI concepts.
• Good communication and stakeholder management skills.
• Knowledge of data analytics, SQL or Python is a plus.

Responsabilités

• Lead governance reviews and assessments of AI use cases, including risk assessments and documentation reviews.
• Collaborate with model developers, technology teams and business users to implement governance requirements and guardrails.
• Coordinate with validators, auditors, compliance teams and regulators by tracking findings and supporting closure of actions.
• Monitor AI use cases, including Agentic AI solutions, to assess guardrails effectiveness and remediation needs.
• Track emerging AI regulations and best practices; contribute to governance standard enhancements.
• Drive the operationalisation of the Group's AI inventory with documentation and audit trails.
• Provide secretariat support to the AI Council and AI Governance Working Group; participate in related projects.

Connaissances

AI governance

Model risk management

Gen AI

Agentic AI

Guardrails

SQL

Python

Description du poste

WHO WE ARE:

As Singapore's longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires. Today, we're on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia's leading financial services partner for a sustainable future. We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career. Your Opportunity Starts Here.

Why Join

In this pivotal role, you will take part in the development of model risk and AI governance standards and controls across the Group. for model risk and AI use. This position calls for a diverse skill set in model risk and AI governance including experience with Generative AI (Gen AI) and Agentic AI. The complexity of AI governance issues can provide a stimulating intellectual challenge, appealing to those who enjoy analytical thinking and problem-solving. On top of that, this role will directly support the Group's ability to use Agents to optimize the Model and AI risk assessment process to improve efficiency and productivity.

How you succeed

• Engage effectively with diverse stakeholders, which include model owners across the Group and IT, communicating clearly both verbally and in writing.
• Demonstrate strong capability in prioritizing and managing multiple concurrent tasks within tight deadlines.
• Apply excellent problem-solving skills to design and optimize system and processes.
• You will also have experience developing and/or applying guardrails for Gen AI and/or Agentic AI solutions.

What you do

• Lead in governance reviews and assessments of AI use cases, including risk assessments, inventory management, and documentation reviews to ensure compliance with internal frameworks and standards.
• Work closely with model developers, technology teams, and business users to implement governance requirements, controls, and guardrails throughout the AI lifecycle, from development through deployment and ongoing monitoring.
• Coordinate with independent validators, auditors, compliance teams, and regulators by tracking findings, and supporting timely closure of governance actions.
• Support the monitoring and review of AI use cases, including Agentic AI solutions, to assess the effectiveness of guardrails, identify potential risks, and highlight areas requiring remediation or enhancement.
• Monitor emerging AI regulations, industry developments, and best practices, and contribute to the continuous enhancement of the Group's AI governance control standards
• Drive the operationalisation of the Group's model and AI inventory, maintaining comprehensive documentation and audit trails.
• Provide secretariat support to the AI Council and AI Governance Working Group. In addition to the BAU functions stated above, the successful candidate will take part in related projects of the department.

Who you work with

Group Risk Management works independently to protect, build, and drive our businesses. The team support good decision-making. With strong risk analysis. And a crucial, comprehensive role in sharpening our competitive edge. Optimising risk-adjusted returns. It's about seeking and adopting best-in-class practices. Protecting the group from unforeseen losses. Keeping risk within appetite. Embracing change and managing growth in one of the world's strongest banks.

Who you are

• 8-10 years of relevant experience in AI governance, model risk management, or a related field preferably with experience in implementing AI, Gen AI or Agentic AI guardrails.
• Familiarity with AI and data-related governance frameworks, risk management practices, or regulatory requirements would be advantageous.
• Strong understanding of AI, Machine Learning, Gen AI, and emerging Agentic AI concepts, with a strong interest in responsible AI and AI governance practices.
• Knowledge of data analytics, SQL, Python, or AI-related tools and platforms would be beneficial but is not mandatory.
• Strong analytical and problem-solving skills, with the ability to review information critically, identify risks, and communicate observations clearly and effectively.
• Good communication and stakeholder management skills, with the confidence t