Lead Data & AI Architect

- Lead data and AI architecture engagements for a global consulting environment, supporting clients across Southeast Asia. - Work with senior stakeholders to translate business priorities into technology strategies, architecture roadmaps and transformation plans. - Advise enterprise clients on cloud transformation, data platforms, AI adoption and modernisation of legacy environments. - Provide technical leadership across complex programmes, from initial discovery and solution design through to implementation. - Support the development of new data and AI capabilities, working closely with client teams and technology partners. ## 1.2 Key Responsibilities - Define enterprise architecture strategies across data, cloud and AI platforms. - Lead architecture reviews, assess existing technology environments and identify opportunities for improvement. - Develop data platform and cloud modernisation roadmaps aligned with business objectives. - Advise on GenAI, machine learning, data engineering and emerging AI technologies, including their practical enterprise applications. - Engage with C-suite stakeholders and senior technology leaders to present recommendations and support strategic decision-making. - Oversee technical delivery, architecture governance and solution design across multi-region environments. - Work with engineering teams, cloud providers and technology partners to deliver scalable, secure and cost-effective solutions. - Contribute to business development, proposal development and the growth of data and AI consulting capabilities. ## 1.3 Key Requirements - 15 years of experience across enterprise architecture, data, cloud or technology transformation. - Background in a leading technology consultancy, systems integrator or major cloud provider. - Strong experience with cloud platforms, data architecture, modernisation and enterprise-scale solutions. - Knowledge of AI, GenAI and machine learning applications in business environments. - Experience advising senior stakeholders and leading complex client engagements. - Strong communication, strategic thinking and technical leadership skills. - Regional experience across Southeast Asia is highly regarded.