AVP/VP, Data Products & Analytics Greater Singapore Area

Key Responsibilities

Programme Delivery & ExecutionSupport the end-to-end delivery of the APAC Data Hub Programme and related data transformation initiatives.Manage programme plans, milestones, budgets, risks, dependencies, and resource requirements.Coordinate delivery across multiple workstreams, including data ingestion, data engineering, governance, analytics, reporting, and data product development.Track programme performance and ensure timely delivery of agreed outcomes.

Stakeholder ManagementPartner closely with Business, IT, Enterprise Architecture, Data Management Office, and regional stakeholders to drive successful programme execution.Coordinate with Head Office and global teams responsible for Databricks and regional Data Hub implementations.Facilitate project governance forums, steering committees, and working groups.Manage stakeholder communications and provide regular programme status reporting to senior management.

Databricks & Data Platform DeliverySupport the implementation and adoption of enterprise data platforms based on Databricks and modern cloud technologies.Work with architecture and engineering teams to ensure alignment with enterprise standards and target-state architecture.Coordinate regional requirements and leverage best practices from other Data Hub implementations globally.Ensure delivery quality, scalability, operational readiness, and business adoption.

Data Products & Analytics EnablementSupport delivery of data products, analytics, regulatory reporting, management information, and AI initiatives with PowerBI.Collaborate with business and technical teams to translate requirements into executable delivery plans.Promote best practices in data governance, data quality, metadata management, and data lifecycle management.Identify opportunities to improve data capabilities and drive business value through analytics.

Risk, Governance & ComplianceManage programme risks, issues, dependencies, and change requests.Ensure adherence to established governance, security, risk management, and regulatory requirements.Support audit, compliance, and control activities related to programme delivery.Maintain transparent reporting of programme status, risks, and delivery outcomes.

Requirements

EducationBachelor's degree in Information Systems, Computer Science, Engineering, Business, Finance, or related discipline.Master's degree or relevant postgraduate qualification is advantageous.

Experience8-12 years of experience managing large-scale data, analytics, technology, or transformation programmes.Demonstrated experience delivering enterprise data platform initiatives in multinational environments.Strong experience coordinating across business, technology, architecture, and delivery teams.Experience managing vendors, system integrators, and external partners.Banking, financial services, or other regulated industry experience is preferred.

Technical & Domain ExpertiseStrong understanding of:

Enterprise Data Management and Data GovernanceDatabricks Lakehouse Platform and modern data architecturesCloud-based data and analytics platformsData warehousing, data lakes, and Data Hub conceptsData engineering and integration methodologiesBusiness intelligence and analytics solutions including PowerBI, Alteryx or other similar toolsAgile, Waterfall, and hybrid delivery methodologiesRegulatory reporting and financial data environments (preferred)Professional Certifications (Preferred)CDMP (Certified Data Management Professional)Databricks certificationsCloud platform certifications (Azure, AWS, or GCP)