AVP, Data & AI Governance Specialist, Tech COO

About the role

DBS is looking for an AVP, Data & AI Governance Specialist within its Technology department's Unit Data Office. You will work in a 1.5-line-of-defence role, helping set up the operating model for data governance, drive data quality outcomes and monitor data and AI risks and the effectiveness of controls. The role is based at the DBS Asia Hub.

Key responsibilities

• Design the workflow and process that supports Tech LOBT use-case teams and guides adherence to Group Data Management principles such as the PURE process.
• Advise on unit-wide adoption of Tech policies, standards and controls for data and AI, and help drive the use of enterprise data tools such as Collibra, Resolve, PURE and ALAN.
• Own data quality outcomes for unit-owned data domains and oversee issue resolution by Data Domain Leads/Champions, supporting remediation of systemic issues.
• Review PURE assessments quarterly, validating at least 80% of self-assessments and 20% of whitelisted rubric use-cases against Group quality guidelines.
• Support the Responsible Data Use operating model, the approval of materiality scores and the deployment of AI use cases and models.
• Act as escalation delegate for unresolved data control failures and as the main liaison with Group CDO, EDA, ISS and Risk on data and AI risks.
• Drive data and AI risk culture and audit readiness, including RFIs, remediation tracking and timely escalation of audit findings.

Required profile

• Bachelor's degree in Data Science, Data Management, Computer Science, Engineering, Mathematics, Information Systems or a related field.
• Over 6 years of relevant experience in data governance, data management or data risk management in a large, complex organisation, preferably in financial services.
• Over 2 years of experience establishing data governance operating models, driving policy adoption and overseeing risk monitoring frameworks.
• Proven experience in a regional role managing multiple stakeholders and teams, in complex regulated, matrixed environments, influencing senior stakeholders.
• Professional certification in data governance or risk management is a plus.

Required skills

• Data quality management, metadata management (data lineage, data cataloging), ETL, data security and data privacy.
• Good knowledge of data architecture and data infrastructure.
• Good understanding of the banking business, organisation, processes and systems.