VP, Specialist, Data Management, Transformation & Data, Group COO

Business Function

Here at the DBS Transformation & Data, Group COO, we focus on nurturing the culture of the "World's Best Bank", 2025, 2021, 2019 (Euromoney) and “World’s Best Digital Bank” (Euromoney, 2016 & 2018). Our approach is a combination of both science and art; we immerse our stakeholders in the world of design thinking and experimentation, drive rigorous creativity along our pipeline, and build connections between corporate entrepreneurs and start-ups. We are a cross-disciplinary team focused on the invention of solutions that will radically improve the way people live, work and play. We are passionate and committed to make banking joyful (while having lots of fun)!

Responsibilities

• Develop, implement and maintain data management standards and frameworks that enable data usage while mitigating risks across the end-to-end data lifecycle.
• Create playbooks and learning materials, establish tooling to enable units to implement data management standards and practices at scale, in areas such as data ownership, data quality, metadata and lineage.
• Partner with units and locations to operationalise the enterprise data governance operating model, incorporating implementation learnings, stakeholder feedback and evolving regulatory expectations.
• Track data governance outcomes in key areas of focus and initiative implementation progress, risks, and dependencies.
• Act as Data Champion for data owned by T&D department, operationalising and applying data governance practices across T&D data domains.
• Support the bank’s participation in regulatory and industry initiatives relating to data and AI governance, coordinating subject-matter inputs, preparing discussion materials, and tracking agreed commitments and follow-up actions.
• Coordinate responses to data governance reviews and audits, including stakeholder inputs, supporting evidence, issue tracking and timely remediation of findings or control gaps.

Requirements

• Degree in a relevant field such as computer science, engineering, mathematics, or data science.
• Strong experience in defining and operationalising enterprise data management frameworks and associated controls, covering areas such as data quality, data issue management, metadata and data lineage. 
• Strong understanding of enterprise data risk management practices and data governance regulations.
• Experience with enterprise data governance tooling and AI capabilities to scale data governance practices.
• Excellent stakeholder management and communication skills, with the ability to influence and challenge constructively to drive data governance outcomes.
• Excellent ability to develop and deliver engaging presentations, proficiency in articulating complex topics for understanding by a broad audience of stakeholders.
• Ability to foster a data accountability mindset and develop data literacy.

Location:

Job:

Schedule:

Employee Status: