VP, Data Governance Operationalisation

Key Responsibilities

• Manage assigned country or branch Data Governance workstreams from planning through delivery.
• Develop project plans, milestones and deliverables, and maintain action, risk, issue and dependency tracking.
• Run workshops with report owners, data owners, stewards and technology teams to gather, challenge and validate information.
• Identify Key Data Uses and Key Data Elements, documenting selection rationale, evidence and approvals.
• Capture business and technical metadata, including definitions, ownership, source systems, tables, fields, formats and transformations.
• Analyse and stitch together end-to-end data lineage using Excel, SQL, mapping documents and inputs from business and technology SMEs.
• Define data-quality requirements, rules, thresholds and exception-handling processes with business stakeholders.
• Write and test SQL queries for data profiling, reconciliation, validation and implementation of data-quality checks.
• Prepare complete, quality-checked metadata, lineage and DQ artefacts for onboarding into Collibra.
• Track delivery, resolve information gaps and escalate material risks or delays.
• Produce clear status updates and management-ready materials.
• Support data governance council and steering committee
• Support the drive to create data awareness training for APAC stakeholders.

Others

• To perform other duties as assigned by the Management and HOD.
• To relief or cover duties of staff members in the department in his/her absence.
• Ensure timely escalation to Supervisor/Management in case of any issues.

POSITION SPECIFICATIONS Academic Qualification (Degree / Diploma etc.) / Professional Qualification / Certification

• Bachelor's/ University degree in Data Management, Computer Science, or related field
• Certifications such as Collibra, CDMP or CIMP are highly desirable.

Working Experience (Years / Type)

• 5 to 10 years’ experience in Data Governance, Data Management, Data Quality, Regulatory Reporting, Data Analysis or Business Analysis, preferably within banking.
• Hands-on experience in business and technical metadata, data lineage and data-quality requirements.
• Strong stakeholder-management and workshop-facilitation skills.
• Strong Excel skills, including data analysis, reconciliation and lineage documentation.
• Good powerpoint presentation skills
• Practical SQL skills for data profiling, validation and development of DQ checks.
• Ability to interpret reporting logic, transformation rules and source-to-target mappings.
• Experience developing project plans and managing milestones, actions, risks, issues and dependencies.
• Ability to manage country workstreams independently and deliver through stakeholders across different functions and locations.
• Experience with Collibra or similar Data Governance tools is advantageous.
• Knowledge of BCBS 239 and regulatory reporting is advantageous.