AVP, UDO Data & AI Governance Specialist, Tech COO, Group Technology

DBS Bank; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

DBS Bank in Singapore is seeking a data management professional to strengthen governance, quality, and risk oversight across the unit. You will help design the operating model, drive policy adoption, and monitor data and AI risks in collaboration with Group CDO and risk functions.

The role requires extensive experience in data governance, data management, data quality, and data architecture, with a proven ability to influence senior stakeholders in a regulated financial environment.

Qualifications

• 6+ years of data governance/management experience in a large, complex organisation (financial services preferred).
• 2+ years establishing data governance operating models and driving policy adoption.
• Strong understanding of banking business, processes and systems.
• Knowledge of Data Quality Management, Metadata Management, Data Lineage, Data Cataloging, ETL, Data Security, Data Privacy, Data Architecture.
• Experience across data infrastructure, data ingestion, and governance with end-to-end delivery in a complex organisation.
• Regional experience managing multiple stakeholders and teams.
• Experience in regulated, matrixed environments.
• Ability to influence senior stakeholders and drive cross-functional outcomes.

Responsibilities

• Governance Operational Model – Design workflow and process supporting Tech LOBT use‑cases and guidance to adhere to Group Data Management principles.
• Advisory role – guide policy/standards adoption; promote enterprise data tools like Collibra, Resolve, PURE, ALAN for policy compliance.
• Data Quality & Issue Remediation – oversee data quality across unit domains and remediation of systemic data issues.
• Assessment Quality – review PURE assessments to ensure quality per Group guidelines; quarterly sampling.
• Data Usage – help establish Responsible Data Use model and deployment of AI governance within the unit.
• Advisory and escalation support – interpret data policies, prioritize risks, and liaison with Group CDO and Risk functions.
• Culture & Curriculum – drive data and AI risk culture and skills.
• Compliance & audit readiness - ensure unit readiness for data/AI, RFIs and remediation of findings.

Skills

Data governance

Data management

Risk management

Stakeholder management

Data quality

Data cataloging

ETL

Data security

Data privacy

Data architecture

Education

Bachelor’s degree in Data Science or related field

Tools

Collibra

Resolve

PURE

ALAN

Job description

Job Purpose

• Technology is key to enabling DBS vision of being the leading bank in Asia.
• We are constantly challenged by changes in Technology advancements and increasing customer sophistication and demands. We need a strong Data Management team in the Technology department to ensure we have a robust operating environment for data management to meet the challenges ahead.
• As a member of the Unit Data Office team, you will be in a 1.5 line of defense role responsible for delivering data management initiatives including setting up the operating model for data governance, driving data quality outcomes and monitoring data and AI risks and effectiveness of controls.

Job Responsibilities

• Governance Operational Model – Design the workflow and process that introduce collaboration and support for Tech LOBTs use‑case teams and provide guidance in adherence to Group Data Management principles such as PURE process.
• Advisory role – provide guidance and support unit‑wide adoption of relevant Tech Policy, Standards, Controls adoption for Data and AI processes, RDU frameworks, relevant controls. Assist in driving usage of enterprise data tools (e.g., Collibra, Resolve, PURE, ALAN) to enable policy compliance.
• Data Quality & Issue Remediation – Responsible for data quality outcomes across unit‑owned data domains and assist in overseeing issue resolution by the Data Domain Leads/Champions, ensuring data is accurate, complete and fit for downstream. Support in driving remediation of systemic data issues or cross‑domain/platform bottlenecks.
• Assessment Quality – Perform reviews of PURE assessments to validate the quality with the Group Data Management quality guidelines. Every quarter to review minimal 80% of Self‑Assessments Use‑Case and 20% Whitelisted Rubric Use‑Cases.
• Data Usage – Support in establishing effective Responsible Data Use (RDU) operating model and assist in driving adherence to PURE and AI Governance frameworks within the unit. Facilitate the approval of materiality score and deployment of AI use cases and models in the unit.
• Advisory and escalation support – Advise Data Domain Leads/Champions to interpret, prioritise and apply data policies and standards, proposed deviations or risk acceptances. Act as delegate for escalation authority for unresolved domain‑level data control failures, systemic issues, or material data risks within the unit, and steer cross‑domain remediation. Act as the delegate for primary liaison between the unit and Group CDO, EDA, ISS and Risk functions on data and AI risks.
• Culture & Curriculum – Support in driving initiatives to strengthen data and AI risk culture and skills within the unit.
• Compliance & audit readiness - Responsible for unit‑level readiness for data and AI, including RFIs and remediation tracking. Timely resolution and escalation of audit findings, regulatory issues, and material control gaps related to data and AI risks.

Requirements

• Bachelor’s degree in Data Science, Data Management, Computer Science, Engineering, Mathematics, Information Systems, or a related field.
• Professional certifications in data governance or risk management are a plus.
• Over 6 years of relevant and progressive experience in data governance, data management, or data risk management within a large, complex organisation, preferably in a financial services sector.
• Over 2 years demonstrating capabilities in establishing and implementing data governance operating model, driving policy adoption, and overseeing monitoring risk frameworks.
• Good understanding of the banking business, organisation, processes and systems.
• Good knowledge in Data Quality Management, Metadata Management including Data Lineage, Data Cataloging, ETL (Extract, Transform, Load), Data Security, Data Privacy, Data Architecture.
• Proven experience and breadth in experience across data infrastructure, data ingestion, data policies and governance with hands‑on experience in guiding and executing initiatives with degree of complexity to completion / Proven experience successful defining and rolling out data governance in a complex organisation that has delivered desired data outcomes.
• Proven experience in a regional role, managing multiple stakeholders and teams.
• Experience working in complex, regulated, matrixed environments.
• Demonstrated ability to influence senior stakeholders and drive cross‑functional outcomes.

Location

DBS Asia Hub

Job

Data Management

Schedule

Regular

Employee Status

Full time