Provide expertise in deploying AI, machine learning, generative AI, and automation solutions, ensuring they deliver measurable business outcomes and operational improvements.
Steer artificial-intelligence delivery specifically. You agree stop, pivot and scale criteria with the sponsor before a proof of concept starts. A solution moves to production only when evaluation results meet the agreed threshold and the model-risk and data-privacy sign-offs are in place. You also design human review steps with the client's process owners.
Lead the design and delivery of reusable data products, shared services, and information assets that can be leveraged across multiple business functions.
Develop and enhance the SeaTalk Open Platform so that internal and external developers can integrate their services and, where relevant, leverage AI capabilities from Sea’s ecosystem.
Delivery & Risk Oversight: Oversee complex, high-stakes AI and data modernization programs — including cloud migrations, RAG implementations, and production-grade AI/ML engineering lifecycles — ensuring on-time, in-budget delivery without business disruption.
Direct the development and execution of AI, analytical and research activities to provide TTSH’s and NHG Health’s management with information and tools for strategic decision making and planning, resource optimization, cost-effective care, and clinical outcomes improvement.
Your first 12 months: build a research base on customer concerns, purchase motivations, competitors, and approved product claims. Turn those insights into messaging angles, PDP and landing-page copy, and creative briefs with clear hypotheses and supporting evidence. Build reusable AI workflows and review standards, checking outputs for accuracy, substantiation, and brand voice. Work with CRO on copy variants, interpret results together, and apply supported findings to the next round of content. Refine the messaging framework and workflows to improve quality and turnaround while reducing avoidable rework.
Production excellence: Set engineering standards for system design, testing, deployment and observability. Drive improvements in reliability, performance and cost, including the evaluation and productionisation of AI applications.