SVP, Data & AI Governance Lead (UDO Office), Group Marketing & Communications

Business Function

Group Marketing & Communications is responsible for building, protecting, and enhancing the DBS brand in an increasingly commoditised banking industry. Working closely with all units within the DBS Group, we create and execute integrated strategies that focus on communications especially digital communications, marketing, and research to differentiate - and elevate - our brand from the rest of the competition.

Job Purpose - UDO Office

As data and AI become increasingly critical to marketing effectiveness, customer experience, and business decision-making, GM&C is strengthening its Data & AI Governance capabilities to improve data quality, accountability, transparency, and responsible use of data across all marketing and communications functions. The Data & AI Governance Lead will be responsible for driving the Data & AI Governance agenda across Group Marketing & Communications and its regional markets.

The role provides leadership and oversight for data ownership, data quality, metadata management, data risk, and responsible AI practices across marketing, brand, communications, marketing analytics domains. Working closely with senior stakeholders across Marketing, Communications, Technology, Data Management, and regional teams, the role will implement governance frameworks, improve trust in marketing and communications data, strengthen regulatory compliance, and enable responsible data and AI-driven innovation.

Responsibilities

• Define and drive the Data & AI Governance strategy, operating model, and roadmap across Marketing & Communications functions and regional markets.

• Establish clear ownership, accountability, and stewardship for critical marketing, communications, prospects, and marketing analytics data assets.

• Drive adoption of data governance policies, standards, controls, and governance tooling to improve data management maturity across GM&C.

• Lead data quality improvement initiatives and oversee the resolution of cross-functional, cross-platform, and systemic data issues impacting marketing effectiveness, reporting, customer engagement, and decision-making.

• Establish governance for metadata, business definitions, lineage, critical data elements, and trusted data sources to improve transparency, discoverability, and regulatory compliance.

• Strengthen data and AI risk management through effective controls, risk monitoring, and remediation of material control gaps across marketing and communications data assets.

• Govern the responsible use of customer, marketing, and communication data, including oversight of AI and advanced analytics use cases, ensuring compliance with internal policies and regulatory requirements.

• Partner with senior stakeholders across Marketing, Communications, Technology, Compliance, and Data functions to drive governance outcomes, influence strategic priorities, and resolve enterprise-wide data challenges.

• Lead regulatory, audit, and compliance readiness activities, ensuring sustainable governance practices and timely remediation of findings related to data and AI.

Requirements

•12+ years of experience in Data Governance, Data Management, Data Quality, Data Risk, Marketing Data, Analytics, Regulatory Compliance, or related disciplines.

• Proven experience leading marketing data governance or transformation initiatives.

• Experience working with senior business and technology stakeholders in complex organizations.

• Experience within financial services, digital businesses, consulting, technology, or other data-intensive industries is preferred.

• Strong knowledge of data governance, data quality, metadata management, lineage, data ownership, and control frameworks.

• Experience managing data generated across the marketing technology ecosystem, including digital analytics and measurement platforms (e.g., Adobe Analytics, Google Analytics, and AppsFlyer), campaign activation tools, customer data platforms, audience management, and consent management solutions.

• Knowledge of responsible AI, AI governance, and evolving data and AI regulatory requirements.

• Hands-on experience developing data products, defining data transformations, and mapping data flows for marketing use cases.

• Strong stakeholder management and executive communication capabilities.

• Demonstrated ability to influence senior leaders and drive enterprise-wide change.

• Strong strategic thinking, problem-solving, and execution skills.

• Experience with enterprise data governance platforms such as Collibra, OpenMetadata, or equivalent solutions.

• Professional certifications in data management, governance, risk, or related disciplines.

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