Deputy/assistant Director

**[What the role is]**

The Monetary Authority of Singapore (MAS) is Singapore’s central bank and integrated financial regulator.

As central bank, MAS promotes sustained, non-inflationary economic growth through the conduct of monetary policy and close macroeconomic surveillance and analysis. It manages Singapore’s exchange rate, official foreign reserves, and liquidity in the banking sector.

As an integrated financial supervisor, MAS fosters a sound financial services sector through its prudential oversight of all financial institutions in Singapore - banks, insurers, capital market intermediaries, financial advisors, and stock exchanges. It is also responsible for well-functioning financial markets, sound conduct, and investor education.

MAS also works with the financial industry to promote Singapore as a dynamic international financial centre. It facilitates the development of infrastructure, adoption of technology, and upgrading of skills in the financial industry.

Join us now, if you have a genuine interest in making an impact to help shape Singapore’s economic and financial landscape.

**[What you will be working on]**

The AI Office is MAS’ central coordinating unit to steer the strategic, responsible and effective adoption of Artificial Intelligence (AI) across the Authority. We are looking for a forward-thinking individual to join the team as Deputy Director / Assistant Director. This role focuses on organisational strategy, policy implementation and compliance, and cross-functional governance and oversight of AI initiatives across MAS’ regulatory, operational and developmental functions.

**Your key responsibilities will include**:

- **Drive MAS-wide AI Strategy**: Develop and implement an enterprise-level strategy to advance the effective and responsible use of AI across MAS’ functions, ensuring alignment with organisational goals and public interest outcomes. Promote innovation within MAS, as the bridge between frontier AI innovation and organisational readiness. Shape internal policies and governance frameworks to ensure AI use is responsible, sustainable, and trustworthy.
- **Identify and Prioritise High-Impact Use Cases**: Partner departments to identify, scope, prioritise and drive AI opportunities and initiatives that can transform MAS’ regulatory, supervisory, or operational effectiveness.
- **Shape a Coherent AI Ecosystem**: Strengthen the overall architecture for AI use across MAS - promoting common platforms, frameworks and standards, as well as reusability, shared tools, and responsible development practices.
- **Embed and Promote Responsible AI Practices**: Shape and operationalise policies and frameworks, and collaborate with business, risk, legal and compliance units, to ensure AI projects adhere to MAS’ standards for ethics, transparency, accountability, explainability, governance and risk management.
- **Foster Cross-Functional Collaboration**: Build bridges between AI specialists, technology and operations teams, policy and compliance functions, and risk managers to ensure sound governance and consistent oversight of AI deployment.
- **Institutionalise Monitoring and Improvement**: Establish oversight, monitoring and feedback mechanisms to track AI product performance, ensure policy alignment, and drive iterative improvement.
- **Build Organisational Readiness**: Raise awareness of AI opportunities and risks through internal engagement and training, and support departments in championing AI literacy, and developing relevant capabilities and change management strategies.

**[What we are looking for]**
- At least 5 years of experience in public policy, digital strategy, or organisational transformation, with a strong track record of driving complex programmes or initiatives, ideally within a regulatory, governmental, or financial services context.
- Strong understanding of AI’s strategic, regulatory and ethical implications, as well as emerging AI technologies and trends.
- Familiarity with AI governance concepts, such as explainability, fairness, and model accountability, from a policy or risk perspective.
- Demonstrated ability to design and implement enterprise-level strategies and policy frameworks in complex, multi-stakeholder environments.
- Prior exposure in driving digital policy and innovation, particularly in frontier AI innovation and adoption, as well as working knowledge of AI/ML principles, lifecycle, infrastructure and operations, would be an advantage.
- Excellent project / programme and stakeholder management skills, including experience working across departments and senior management levels.

This is a 2-years contract position. All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.

As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.