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Please Note

  • An estimate based on public data for similar roles. Not provided by the employer.

VP, AI & Data Assurance

Singapore UOB Bank Estimated salary: S$180,000–S$300,000 per year, excluding bonus and benefits
Role summary

Written by MyIslandJob from the job title and employer. See the employer's page for the full description.

The VP, AI & Data Assurance role at UOB is expected to strengthen governance, risk management and control frameworks for artificial intelligence, data use and related technology. Requirements typically include substantial experience in data governance, AI risk, technology risk, model risk, internal controls, audit or regulatory compliance, preferably within banking or financial services. The candidate should understand Singapore regulations, data privacy, cybersecurity principles and responsible AI practices. Strong stakeholder management, analytical thinking, communication and leadership skills are essential, as the role involves working with technology, business, risk, legal and audit teams. The successful candidate will be expected to identify emerging risks, establish assurance standards, challenge control effectiveness and provide senior management with clear, practical recommendations.

About the employer

UOB, or United Overseas Bank, is a major Southeast Asian bank headquartered in Singapore. Established in 1935, it provides personal and business banking, commercial and corporate banking, wealth management, investment banking and transaction services. The group operates across Singapore, Malaysia, Indonesia, Thailand, Vietnam and other regional and global markets. UOB serves individuals, small and medium-sized enterprises, large corporations and institutions, supporting customers with lending, payments, deposits, cards, treasury and digital banking solutions. Following its acquisition of Citigroup’s consumer businesses in Indonesia, Malaysia, Thailand and Vietnam, UOB has continued expanding its regional consumer franchise. The bank places strong emphasis on risk management, regulatory compliance, digital transformation and responsible innovation, making data, cybersecurity and artificial intelligence assurance increasingly important to its operations.

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