VP, Data Governance Lead

SMBC Group

Fresher

Singapore

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Posted 3 days ago
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Job Description

Data Governance

Lead the enterprise-wide implementation and ongoing maturity of BCBS 239 principles by establishing governance frameworks, adoption roadmaps, compliance metrics, and sustainable control mechanisms across all business lines.
Define, implement, and continuously enhance Data Governance, Data Risk, and Data Control standards in partnership with the Enterprise Chief Data Office, ensuring policies are consistently embedded into business operations.
Develop and execute the strategic roadmap for Data Governance initiatives, maintaining oversight of a structured portfolio of work, delivery milestones, prioritization, resource allocation, and successful programme execution.
Build, lead, and develop high-performing teams of Data Governance and Data Management professionals, fostering accountability, collaboration, and continuous capability development.
Act as the senior subject matter expert for enterprise data governance, providing strategic guidance across major transformation programmes and ensuring alignment with regulatory expectations and organizational objectives.
Partner with business, technology, risk, and compliance stakeholders to translate complex business requirements into practical data governance solutions that strengthen risk management, regulatory compliance, and operational effectiveness.
Drive and manage data quality issue resolution across SMBC.
Establish and monitor key performance indicators (KPIs) and governance metrics to measure programme effectiveness, regulatory compliance, data quality improvements, and overall business outcomes, providing regular updates to executive leadership and governance committees.
Leverage data analytics to generate actionable business insights that support strategic decision-making, including growth initiatives, client origination, cross-selling opportunities, resource optimization, and operational efficiency.
Assess and advise on data-related risks arising from strategic business decisions, ensuring adherence to regulatory obligations, ethical standards, and appropriate governance practices while escalating material issues where necessary.
Drive stakeholder engagement across multiple business functions, building alignment, influencing senior executives, and achieving consensus on strategic data initiatives and governance priorities.
Balance competing priorities across multiple concurrent programmes while maintaining focus on strategic objectives, execution excellence, and timely delivery of measurable outcomes.

AI Governance

Establish and lead the enterprise-wide AI Governance framework, defining policies, standards, controls, and operating procedures to ensure the responsible, ethical, secure, and compliant use of AI, Machine Learning (ML), and Generative AI technologies across the organization.
Lead the review of AI risk management and model governance practices, including model lifecycle management, validation, monitoring, explainability, accountability, bias assessment, and compliance with applicable regulatory and internal requirements.
Partner with business, technology, risk, compliance, legal, and data stakeholders to evaluate, approve, and govern AI use cases, ensuring appropriate oversight, controls, and risk mitigation measures are embedded throughout the AI lifecycle.
Establish AI governance metrics, reporting, and monitoring mechanisms to track AI adoption, performance, compliance, emerging risks, and business value realization, providing regular updates and strategic recommendations to senior management and governance committees.