You will design and implement consent management policies, data sharing safeguards, and compliance validation processes that enable trusted, scalable data flows across partner organisations with varying technical capabilities and institutional priorities.
Model Lifecycle and Drift Control: Build and operate the deployment path, including real-time and batch inference, result storage, performance monitoring, drift detection, retraining triggers, feature change management, and rollback, ensuring training and production feature pipelines are provably identical.
Treat the AI-ready data and harness layer as the foundational multiplier for AIDA returns, explicitly designing for build-once, deploy-many reuse across models, agents, channels and BUs.
4+ years as a software engineer, data engineer, or AI/ML practitioner writing technical design documents, data pipeline documentation, or API specifications
You will design and implement consent management policies, data sharing safeguards, and compliance validation processes that enable trusted, scalable data flows across partner organisations with varying technical capabilities and institutional priorities.
Model Lifecycle and Drift Control:Build and operate the deployment path, including real-time and batch inference, result storage, performance monitoring, drift detection, retraining triggers, feature change management, and rollback, ensuring training and production feature pipelines are provably identical.
You will design and implement consent management policies, data sharing safeguards, and compliance validation processes that enable trusted, scalable data flows across partner organisations with varying technical capabilities and institutional priorities.
Excellent knowledge of implementing systems using Bespoke, COTS, SaaS solutions across the enterprise. Experience with cloud technologies and IT transformation programs.
Data Platform Engineering: Lead the evolution of shared data platform capabilities spanning ingestion, storage, processing, orchestration, cataloguing and self-service tooling, so teams across SGX Group can deliver data capabilities safely and at speed.
Oversee GIC’s SWIFT infrastructure and financial messaging evolution (e.g., ISO 20022), ensuring robust engineering, security, and regulatory compliance.
Identify potential design, coordination, and construction issues at an early stage and provide practical recommendations to mitigate risks, delays, and cost impacts.