Editorial summary

The Data Governance Lead at Green Link Digital Bank is responsible for establishing and operationalizing enterprise data governance to ensure data is well-managed, compliant, secure, and suitable for analytics, AI, and digital initiatives. The role involves strategic planning and hands-on execution to promote data governance adoption across business and technology teams. Green Link Digital Bank is Singapore's first wholesale digital bank focusing on supply chain finance for MSMEs, supporting their growth and digital transformation. The position offers a salary of 15,500 SGD.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job id 16681 first appeared in Job-Q.com on 25 Jun 2026]

About Us

Green Link Digital Bank is Singapore's inaugural wholesale digital bank focusing on supply chain finance, mainly serving MSMEs and aiming to help MSMEs grow and improve digitization.

About the Role

The Data Governance Lead plays a pivotal role in shaping and operationalizing enterprise data governance, ensuring our data is well managed, compliant, secure, and ready to power analytics, AI, and digital innovation. This role combines high-level strategic planning with hands-on execution, requiring you to drive data governance adoption across business and technology teams, strengthen data quality, and embed regulatory aligned controls into day-to-day operations.

Responsibilities

• Responsible for establishing and implementing enterprise-wide data governance frameworks, system, policies, and process as regard to the governance, use and analysis of data.
• Translate governance strategy into practical operating models, processes, and controls across the bank.
• Establish and maintain data ownership andstewardship structures across business domains.
• Drive adoption of governance practices withmeasurable improvements in data quality, trust, and compliance.
• Lead governance forums and working groups totrack progress, escalate risks, and resolve issues.
• Define and enforce data quality standards(accuracy, completeness, timeliness, consistency).
• Oversee data quality monitoring, issue management, and remediation workflows.
• Strengthen metadata management, including data cataloguing, lineage, classification, and business glossaries.
• Implement data lifecycle, retention, archival, and disposal policies aligned with MAS and PDPA requirements.
• Ensure governance practices meet MAS guidelines, PDPA, outsourcing requirements, and internal risk frameworks.
• Partner with Risk, Compliance, Legal, and Internal Audit to ensure audit readiness and regulatory compliance.
• Support documentation, traceability, and lineage requirements for regulatory reporting.
• Support implementing AI governance and responsible AI practices.
• Ensure data used for AI/ML is well‑classified, high‑quality, and compliant with ethical and regulatory expectations.
• Partner with business, technology, and operations teams to embed governance into daily processes.
• Provide training, communication, and guidance to uplift data literacy and governance awareness.
• Influence senior stakeholders to prioritise data governance and drive behavioural change.
• Support the rollout and adoption of data governance tools (e.g., data catalogues, quality platforms).
• Promote automation and digitalisation of governance workflows to improve efficiency and transparency.

Requirements

• 8-12 years of experience in data governance, data management, risk, or compliance, preferably in financial services or regulated environments.
• Strong understanding of data risk areas(quality, privacy, security, access, retention).
• Experience implementing governance frameworks, policies, and standards.
• Proven ability to work with cross functional stakeholders across business and technology.
• Familiarity with MAS regulatory expectations, PDPA, and cloud-based data platforms.
• Strong analytical, communication, and stakeholder management skills.
• Experience in digital banking, wholesale banking, or fintech environments.
• ·Exposure to AI/ML governance, data lineage tools, or metadata platforms.
• Certifications such as CDMP, DCAM, TOGAF, or equivalent is a plus

By submitting your application, you have given your consent for us to collect, use and retain your data for a year as according to our prevailing data retention and PDPA policies. Should you have any enquiries on our data policy, please contact us at CustomerSupport@glbank.com.

Scam prevention reminder: You should not make any pre-payment when applying for any job.

Illegal practices reminder: It is illegal for recruiter to collect payment (kickback) from the worker https://www.mom.gov.sg/-/media/mom/documents/publications/foreign-workers/what-are-kickbacks.pdf