Singapore
Delivering data initiatives that enable AI readiness and achieve regulatory compliance.
• Led the end-to-end delivery of a bank-wide data warehouse and data mart, defining both business and product requirements which align with enterprise data strategy. Implemented Qlik-based reporting solutions that enabled Compliance and Data Management teams to produce regulatory reports and executive dashboards, enhancing transparency and decision-making across senior stakeholders. • Spearheaded the integration of 10+ critical source systems into the enterprise data lake, overseeing historical data ingestion while incorporating data sourcing principles that improved ingestion efficiency and reduced downstream data quality issues. Partnered with the data management office and technology team (e.g., system analysts and technology delivery manager) to validate data pipelines and ensure scalable data products for regulatory and business use cases to align with MAS regulatory standards. • Led capability and gap assessments with data scientists, engineers and business units to evaluate readiness for AI adoption and defined a strategic roadmap that advanced AI enablement while ensuring data products are scalable to support both regulatory reporting and innovative analytics use cases.
• Oversaw the implementation of critical system functionalities through the full SDLC, from requirements gathering and user story design to testing and deployment. This prevented regulatory penalties, achieving US$0.3M in cost savings. • Developed data accelerators such as building data dictionaries to catalogue the content of data, building data quality rules to monitor and improve the quality of critical data elements (CDEs), as well as a data inventory template which shows how the data lifecycle of a CDE could potentially be tracked. These generated about US$1M in new business opportunities and strengthened strategic vendor partnerships. • Defined a 2-year strategic roadmap and target operating model to grow the company’s data practice and evaluated vendor solutions which aligns with the company’s value proposition. This resulted in a 30% increase in the team capacity and secured 3 ecosystem partnerships with leading data management and cloud providers. • Developed three cross‑functional strategic growth initiatives (e.g., geographic footprint analysis, offshoring strategy), partnering with senior stakeholders across multiple business functions to shape data‑driven decisions that expanded market growth and improved operational efficiency.
• Implemented enterprise-wide data governance frameworks and robust data quality procedures for a local bank worth US$1.5M, designing business quality rules and enabling data lineage capabilities through data management tools (e.g., Informatica) based on BCBS239 guidelines. • Conducted data gaps assessments to identify regulatory compliance requirements, delivering system and business process enhancements recommendations to remediate gaps. These initiatives laid the foundation for AI‑driven risk analytics, enabling the bank to proactively manage regulatory obligations and operational risk.
• Managed a US$0.4M bank‑wide BCBS239 gap assessment across 10 departments, identifying operational and data governance challenges. Delivered actionable recommendations, including enhanced data quality controls and clearer data governance role definitions (e.g., data owners and custodians) which strengthened governance accountability and reduced regulatory compliance risk.
• Conducted scoping exercises with 3 Non-Profit Organisations to identify the key problems and suggested deliverables to resolve and address the organisational issues • Organised 2 social impact Hackathons (“Scalathons”) to mobilise professional talents from leading corporates, leveraging on their skills to tackle pressing challenges faced by Conjunct’s Non-Profit partners