Group Data & AI Governance Lead

GXS Bank; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

GXS Bank seeks a Group Data & AI Governance Specialist to lead data and AI governance initiatives across its regional digital bank group. You will develop policies, processes, and tools to ensure secure, compliant data and responsible AI practices.

You will partner with data science, MLOps, risk, product and IT teams to implement governance frameworks, monitor AI risks, and enable trusted data assets across the Bank Group.

Qualifications

• 3+ years of experience in AI/data governance, risk, or regulatory compliance in banking/financial services.
• Experience with AI lifecycle, governance, and risk management frameworks.
• Ability to implement governance policies across data, AI models and platforms.
• Strong collaboration with data science, IT, risk, and product teams.

Responsibilities

• Partner with data engineering and MLOps to implement enterprise data architecture and governance dashboards.
• Aggregate data quality and AI controls metrics with governance tools.
• Implement governance using APIs and automation to enforce data access controls and security.
• Define AI risk frameworks from ideation to production and monitor ongoing risks.
• Develop clear guidance and best practices for data/AI governance across the bank.
• Coordinate data/AI governance inquiries, audits, and incident remediation.
• Collaborate with Data Stewards and Data Owners to enforce enterprise-wide governance.
• Translate business rules into technical data quality rules.

Skills

AI governance

Data governance

Model risk

Data quality

Regulatory compliance

Agile/Scrum

Stakeholder management

Data lineage

Metadata management

Tools

Snowflake

Job description

GXS Bank seeks a Group Data & AI Governance Specialist to lead data and AI governance initiatives across its regional digital bank group. You will develop policies, processes, and tools to ensure secure, compliant data and responsible AI practices.

You will partner with data science, MLOps, risk, product and IT teams to implement governance frameworks, monitor AI risks, and enable trusted data assets across the Bank Group.