Standard Chartered Bank
|Director - Technology & Engineering
Singapore
Summary
Visionary technology executive with proven experience leading enterprise-scale AI, platform engineering, and digital transformation programs across global markets. Architect of strategic technology roadmaps driving innovation, cost optimization, operational efficiencies, and scalable growth. Trusted partner to Board and C-suite in delivering KPI-driven regulatory, risk, and data platforms with strong governance and resilience. Builder of high-performance engineering organizations, championing continuous learning, proactiveness, and people-centric leadership. Passionate about AI integration, product strategy, MVP-led delivery, and continuous innovation to unlock sustainable business value and competitive advantage.
Highlights
Defined and executed enterprise-wide technology strategy overseeing large-scale platform engineering transformation, including migration of 99+ mission-critical applications (cloud, SaaS, regulatory, risk & compliance platforms) to next-generation infrastructure. Delivered measurable cost optimization, legacy rationalization, resilience enhancement, and scalable digital foundations aligned to long-term business strategy.
Owned strategic regulatory technology portfolios (AML, TM 2.0, IFRS9, ISO 20022, Fraud Detection, MAS COSMIC), embedding KPI-led governance, risk controls, and AI-enabled compliance capabilities. Ensured regulatory alignment while strengthening enterprise data architecture and operational continuity across markets.
Built and scaled global engineering organisations across 4+ countries, leading platform engineering, SRE, DevOps, data, and infrastructure teams. Drove people management excellence, succession planning, leadership development, and a culture of accountability, proactiveness, and continuous learning to sustain high-performance delivery models.
Institutionalised AI integration and data-driven innovation at enterprise scale, architecting AI/ML platforms for financial crime detection and behavioural risk intelligence. Established AI governance, ML Ops frameworks, and model performance KPIs to enable responsible AI adoption, continuous optimisation, and business value realisation.
Accelerated product strategy through MVP-led delivery models, embedding AI-powered SDLC, DevSecOps, and automated engineering pipelines. Enabled rapid experimentation, continuous innovation, reduced time-to-market, and scalable platform reusability across global business units.
Championed engineering efficiencies and intelligent automation, modernising legacy processes using Python and open-source ecosystems to improve throughput, reduce operational risk, and enhance cost discipline across compliance and monitoring platforms.
Unified global data and digital platforms, driving enterprise data strategy, platform consolidation, and cross-market integration to support advanced analytics, AI capabilities, and business growth initiatives.
Partnered closely with Board, C-suite, and country leadership, aligning technology investment with strategic objectives, driving transformational programs, and ensuring seamless large-scale system transitions with minimal business disruption.