Lead Data Science Initiatives: Drive AI/ML initiatives supporting Singtel’s product and service offerings by working closely with stakeholders from Marketing, Product, and external partners. Define problem statements and architect end-to-end solutions—including the use of Generative AI and LLMs where applicable—to align with strategic objectives, regulatory requirements, and partner needs.
Lead Data Science Initiatives: Drive AI/ML initiatives supporting Singtel’s product and service offerings by working closely with stakeholders from Marketing, Product, and external partners. Define problem statements and architect end-to-end solutions—including the use of Generative AI and LLMs where applicable—to align with strategic objectives, regulatory requirements, and partner needs.
Lead Data Science Initiatives: Drive AI/ML initiatives supporting Singtel’s product and service offerings by working closely with stakeholders from Marketing, Product, and external partners. Define problem statements and architect end-to-end solutions—including the use of Generative AI and LLMs where applicable—to align with strategic objectives, regulatory requirements, and partner needs.
Build and maintain the operational observability dashboard for each AI / agent and Classical AI ML use case, across system health, performance, quality, safety and business-outcome metrics.
Responsible for designing, building, and operating scalable data ingestion, transformation, and serving capabilities across a modern hybrid cloud data platform, ensuring solutions are reliable, secure, reusable, and aligned to enterprise architecture and governance standards.
Responsible for building, integrating, and operating AI knowledge system components, including knowledge graphs, structured knowledge formats, memory stores, vector databases, and retrieval pipelines that support GenAI and agentic AI use cases.
Design end-to-end AI solutions that are robust, scalable, and span data ingestion, model deployment, API orchestration, and business system integration across hybrid cloud and on-prem environments
Own the AI-Ready Data & Harness Engineering strategy, technical roadmap and capability architecture for Singtel SG, aligned to the AIDA 2.0 stack and Chief AIDA Officer agenda.
Own the AI-Ready Data & Harness Engineering strategy, technical roadmap and capability architecture for Singtel SG, aligned to the AIDA 2.0 stack and Chief AIDA Officer agenda.
Design end-to-end AI solutions that are robust, scalable, and span data ingestion, model deployment, API orchestration, and business system integration across hybrid cloud and on-prem environments
Lead and manage the 24x7 Security Operations Centre (SOC) operations, including any Managed Security Service Provider (MSSP) or MDR partner, ensuring security events are monitored, triaged, escalated and resolved within defined Service Level Agreements (SLAs).
Administer and support enterprise Red Hat OpenShift Container Platform (OCP) environments, including Openshift Virtualization, Containerization and AI variations
Design end-to-end AI solutions that are robust, scalable, and span data ingestion, model deployment, API orchestration, and business system integration across hybrid cloud and on-prem environments
Support product management for the innovation AI initiative, including roadmap development, feature prioritisation, user journey mapping, success metrics, and end-to-end delivery coordination.