VP, AI & Data Assurance

UOB; Singapore; On-site; SGD 240,000 - 360,000; Full time

Job summary

United Overseas Bank Ltd seeks a VP of AI & Data Assurance to establish and oversee a robust assurance framework for AI and data initiatives across the bank. You will ensure ethical, compliant and reliable deployment of AI models and data-driven solutions, safeguarding the bank’s reputation and trust in its digital transformation journey.

You will lead a team, collaborate across legal, risk, and engineering functions, and drive training and governance programs to embed assurance throughout the

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Risk Management or related quantitative field (PhD a plus).
• Minimum 10 years in risk management/audit/compliance/assurance in financial services, with at least 5 years on AI/ML/data governance.
• Deep understanding of AI/ML concepts, algorithms and lifecycle risks like bias and explainability.
• Strong knowledge of data governance, data quality and privacy regulations (GDPR, PDPA).
• Experience in developing assurance frameworks, control testing and risk assessment for complex tech systems.
• Familiarity with regulatory expectations for AI/data in financial services (MAS TRM, BCBS 239, ethical AI).
• Excellent analytical, communication and stakeholder influence skills.
• Experience leading cross-functional teams; certifications in CISM/CISA/CRISC or AI ethics desirable.

Responsibilities

• Develop and refine a comprehensive AI and Data Assurance strategy aligned with industry‑standard practices and regulatory requirements.
• Lead risk identification, assessment and mitigation for AI model development, deployment and operation.
• Establish and manage robust model validation and review processes for AI/ML models.
• Oversee data quality assurance for data used in AI models and analytics.
• Collaborate with AI/ML engineers, data scientists, legal, compliance, risk and business units to embed assurance.
• Develop training on AI ethics, data governance and assurance best practices.
• Formulate control frameworks and monitoring for AI systems post‑deployment.
• Prepare and present status reports on AI and Data Assurance to senior management and regulators.
• Stay updated on emerging AI tech and regulatory landscapes to adapt the framework.
• Lead and mentor AI/data assurance professionals and foster continuous improvement.

Skills

AI/ML concepts

Risk management

Data governance

Regulatory knowledge

Model validation

Ethical AI

Data privacy

Leadership

Cross-functional teams

Education

Bachelor's or Master's in a relevant field

PhD (plus)

Job description

Company: 1011 United Overseas Bank Ltd

About UOB

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

Job Description

The VP, AI & Data Assurance will be a critical leader responsible for establishing and overseeing a robust assurance framework for Artificial Intelligence (AI) and data initiatives across United Overseas Bank Ltd. This role ensures the ethical, compliant, and reliable deployment and operation of AI models and data-driven solutions, safeguarding the bank's reputation, mitigating risks, and fostering trust in its digital transformation journey.

Job Responsibilities

• Develop, implement, and continuously refine a comprehensive AI and Data Assurance strategy and framework, aligning with industry best practices, regulatory requirements (e.g., MAS TRM, GDPR, AI ethics guidelines), and internal policies.
• Lead the identification, assessment, and mitigation of risks associated with AI model development, deployment, and ongoing operation, including bias, fairness, transparency, explainability, security, and data privacy.
• Establish and manage a robust model validation and review process for all AI/ML models, ensuring their accuracy, stability, performance, and adherence to intended objectives.
• Oversee the implementation of data quality assurance processes for data used in AI models and analytics, ensuring data integrity, accuracy, completeness, and consistency.
• Collaborate closely with AI/ML engineering teams, data scientists, legal, compliance, risk management, and business units to embed assurance principles throughout the AI lifecycle (design, development, testing, deployment, monitoring).
• Develop and deliver training programs and awareness initiatives on AI ethics, data governance, and assurance best practices to relevant stakeholders across the bank.
• Formulate and implement control frameworks and monitoring mechanisms to track the performance and compliance of AI systems and data pipelines post-deployment.
• Prepare and present regular reports on AI and Data Assurance status, risks, and findings to senior management, audit committees, and relevant regulatory bodies.
• Stay abreast of emerging AI technologies, regulatory landscapes, and assurance methodologies to proactively adapt the bank’s framework.
• Lead and mentor a team of AI and data assurance professionals, fostering a culture of excellence, innovation, and continuous improvement.

Job Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Risk Management, or a related quantitative field. A Ph.D. is a plus.
• Minimum of 10 years of experience in risk management, audit, compliance, or assurance roles within the financial services industry, with at least 5 years focused specifically on AI, machine learning, or data governance.
• Deep understanding of AI/ML concepts, algorithms, model development lifecycles, and their inherent risks (e.g., bias, explainability, robustness).
• Strong knowledge of data governance principles, data quality frameworks, and data privacy regulations (e.g., GDPR, PDPA).
• Proven experience in developing and implementing assurance frameworks, control testing, and risk assessment methodologies for complex technological systems.
• Familiarity with regulatory expectations and guidelines related to AI and data use in financial services (e.g., MAS TRM, BCBS 239, ethical AI principles).
• Excellent analytical, problem-solving, and critical thinking skills, with the ability to interpret complex technical information and translate it into actionable insights for diverse audiences.
• Strong communication, interpersonal, and presentation skills, capable of influencing stakeholders at all levels.
• Experience in leading and managing cross-functional teams.
• Certifications in relevant areas such as CISM, CISA, CRISC, or AI ethics are highly desirable.

Additional Requirements

Develop, Engage, Execute, Strategise

Be a Part of the UOB Family

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.