ED/SVP, Data Governance Team Lead, 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:

• Define, champion and oversee enterprise-wide data governance frameworks to support DBS Data & AI ambitions and mitigate risks across the end-to-end data lifecycle.

• Expand data governance frameworks to holistically address the unique challenges of agentic AI, real-time and unstructured data use.

• Entrench the data ownership model across all units and locations, fostering a strong data ownership and accountability mindset.

• Partner with risk management and technology leadership to define and execute data governance initiatives.

• Drive communication, messaging and alignment on data governance standards and outcomes, at all organisational level.

• Establish playbooks, learning materials and tools to operationalise data governance standards and enable seamless implementation by units.

• Establish and embed data risk controls to oversee and validate the implementation of data governance standards.

• Spearhead the transformation and scaling of data governance processes with AI and automation.

• Continuously refine and improve data governance frameworks to address emerging data risks, technology developments, evolving DBS data and AI use cases, and changes in the regulatory landscape.

• Define, monitor and report on key risk indicators and data governance outcomes.

• Lead, mentor, and develop a team of data governance specialists, cultivating a culture of innovation, excellence, and continuous learning.

Requirements:

• Degree in a relevant field such as computer science, engineering, mathematics, or data science.

• Subject matter expertise in data governance, data management or risk management.

• In-depth understanding of data risks and controls, data lifecycle management, and data governance areas such as data ownership, metadata and lineage, data quality, data compliance.

• Proven ability to lead complex, cross-functional data governance initiatives from conception through to successful implementation.

• Strong leadership skills with the ability to influence stakeholders and drive change across diverse teams.

• Extensive experience with data governance tools and use of AI to scale data governance practices.

• Excellent analytical and problem-solving abilities, proficiency in articulating complex topics to a broad audience.

• Excellent ability to develop and deliver engaging, high-impact presentations.

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