Leadership and Strategy

Develop and execute the strategic roadmap for the Data Platform Center, ensuring alignment with the organization's overall data and IT strategies.

 Drive the design and implementation of enterprise data architecture to support group-wide data systems.

 Provide leadership across all functional areas of the center, including Data Product, Data Engineering, Data Architecture, and CR Management Team.

 Serve as the key liaison between business units, IT teams, and data stakeholders to ensure alignment and value delivery.

Foster a culture of innovation, operational excellence, and continuous improvement in the center.

Enterprise Data Architecture

 Lead the design and governance of enterprise-wide data architecture principles, frameworks, and concepts.

 Oversee the alignment of system design and interoperability to ensure consistency across data systems.

 Collaborate with IT architects to deliver integrated enterprise data and IT strategies.

Data Product Management

 Manage business requirements analysis and the development of change requests (CRs) for Data Warehouse and related data products.

 Oversee the design and delivery of data pipelines and reporting systems to support compliance requirements, such as SBV Circular 11.

 Drive cloud and other data product initiatives, ensuring alignment with the broader Enterprise Data Analytics (EDA) strategy.

Data Engineering and Operations

 Oversee the design, implementation, and maintenance of end-to-end data pipelines and data processing systems in the enterprise data zone (Data Warehouse).

 Manage the integration of raw data into downstream systems to serve both business units (for analytics, AI/ML) and application/system needs.

 Ensure the stability, scalability, and cost-effectiveness of data provisioning systems and day-to-day operations, including SLA management, data observability, and issue resolution.

 Lead infrastructure, application support, and security fixes for systems under DPC’s management

Change Request (CR) Management

 Ensure the delivery of CRs meets agreed timelines, business requirements, and quality standards.

 Lead communication and updates with business functions through appropriate forums to ensure transparency and collaboration.

 Oversee CR prioritization, resource allocation, SLA management, and performance tracking to optimize service delivery.

 Recommend and implement process and technology improvements to enhance efficiency in CR delivery

Team Management and Development

 Build and develop a high-performing team across Data Product, Data Engineering, Data Architecture, and CR Management functions.

 Define clear roles, responsibilities, and performance benchmarks to ensure operational excellence.

 Mentor and empower team members, fostering a culture of collaboration, innovation, and accountability.

 Manage resources and cost optimization across the center to ensure sustainable delivery.