
VP, AI Data Governance, Data Management Office
Salary undisclosed
Checking job availability...
Original
Simplified
- Actively contribute to conceptualising, driving and implementing bank-wide AI (and Gen AI) governance strategy, AI and data governance framework, policy, related standards, procedures and guardrails, in line with the Bank's business, data and AI objectives as well as evolving industry practices
- Collaborate with cross-functional teams, including data scientists, data engineers, technology, risk, legal and compliance, to integrate AI (and Gen AI) and data governance practices into the bank's ecosystem
- Actively contribute to the development of AI and data risk management strategies, such as identification of potential risks and implementation of mitigation measures and guardrails
- Support periodic reporting and updates on AI and data Governance activities to the relevant AI and data governance taskforce and other stakeholders
- Understand the relevant end-to-end data landscape, including systems, business processes and data flows to support data governance reviews and assessments; co-ordinate in the development and enhancement of supporting documentation
- Stay abreast of emerging AI and data regulations, industry best practices, and technological advancements to continuously improve the bank's AI and data governance strategy, framework and operationalisations
- Be an agent of change and inculcate AI and data governance culture and discipline across the Bank's key AI and data processes. Provide guidance and training to stakeholders on AI (and Gen AI) and data governance principles and practices
- Bachelor's/Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
- Good experience in AI governance, data governance, or a related field, with at least 7-10 years of working experience in the banking industry or equivalent, or consulting/auditing experience with strong exposure to Financial Services
- Exposure to policy-planning, AI ethics, bias mitigations, privacy, and related financial services regulations
- Good understanding of AI technologies and machine learning algorithms with experience in testing AI models and technologies (e.g. red teaming)
- Good influencing and persuasion skills, and ability to obtain consensus across diverse stakeholder groups
- Comfortable with handling ambiguous situations and navigating conflicts with ease
- Good project management, interpersonal and collaboration skills, with the ability to engage different stakeholders across the Bank
- Actively contribute to conceptualising, driving and implementing bank-wide AI (and Gen AI) governance strategy, AI and data governance framework, policy, related standards, procedures and guardrails, in line with the Bank's business, data and AI objectives as well as evolving industry practices
- Collaborate with cross-functional teams, including data scientists, data engineers, technology, risk, legal and compliance, to integrate AI (and Gen AI) and data governance practices into the bank's ecosystem
- Actively contribute to the development of AI and data risk management strategies, such as identification of potential risks and implementation of mitigation measures and guardrails
- Support periodic reporting and updates on AI and data Governance activities to the relevant AI and data governance taskforce and other stakeholders
- Understand the relevant end-to-end data landscape, including systems, business processes and data flows to support data governance reviews and assessments; co-ordinate in the development and enhancement of supporting documentation
- Stay abreast of emerging AI and data regulations, industry best practices, and technological advancements to continuously improve the bank's AI and data governance strategy, framework and operationalisations
- Be an agent of change and inculcate AI and data governance culture and discipline across the Bank's key AI and data processes. Provide guidance and training to stakeholders on AI (and Gen AI) and data governance principles and practices
- Bachelor's/Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
- Good experience in AI governance, data governance, or a related field, with at least 7-10 years of working experience in the banking industry or equivalent, or consulting/auditing experience with strong exposure to Financial Services
- Exposure to policy-planning, AI ethics, bias mitigations, privacy, and related financial services regulations
- Good understanding of AI technologies and machine learning algorithms with experience in testing AI models and technologies (e.g. red teaming)
- Good influencing and persuasion skills, and ability to obtain consensus across diverse stakeholder groups
- Comfortable with handling ambiguous situations and navigating conflicts with ease
- Good project management, interpersonal and collaboration skills, with the ability to engage different stakeholders across the Bank