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A leading technology firm in Singapore is seeking a Head of Enterprise Architecture to define and govern architecture strategy, drive AI-first modernization initiatives, and lead cross-functional engineering teams. The ideal candidate has a strong background in cloud-native design, proven expertise in transforming legacy systems, and leadership experience in large engineering teams. This role offers an opportunity to influence technology investments and drive innovation across business units.
The Head of Enterprise Architecture is a senior technology leader responsible for defining and governing the enterprise-wide architecture strategy, driving AI-first modernization initiatives, and enabling scalable, cloud-native platforms that unlock business value. This role provides strategic oversight across innovation, engineering governance, modernization roadmaps, and solution architecture, ensuring technology investments align with business outcomes.
Ideal candidate would have proven expertise in transforming legacy systems, adoption of cloud-native ecosystems and leading multi-disciplinary teams.
Define, evolve, and govern enterprise architecture standards, blueprints, and technology roadmaps.
Architect modern, cloud-native platforms using microservices, serverless, event-driven, and domain-driven design principles.
Establish architecture governance frameworks spanning PMO, QA, engineering quality, and solution reviews.
Lead organization-wide innovation and GenAI programs, including modernization accelerators, AI-integrated workflows, and intelligent automation.
Drive AI-first transformation initiatives delivering measurable improvements in velocity, automation uplift, and cost efficiencies (e.g., 30–50% delivery acceleration, 60%+ automation uplift, multi-million-dollar savings).
Build and operationalize GenAI platforms, copilots, retrieval systems, and system modernization engines.
Lead architecture for large-scale cloud ecosystems (AWS, Azure), including application modernization, data modernization, and platform engineering.
Enable secure, scalable cloud-native adoption across business units through reusable patterns, templates, and reference architectures.
Lead cross-functional engineering squads (up to 70+ engineers) across multiple business domains and modernization programs.
Ensure predictable delivery through architectural governance, technical leadership, and engineering best practices.
Partner with product, CTO, and CXO groups to translate business needs into actionable enterprise solutions.
Lead modernization of mission-critical legacy systems, including finance, HR, MIS, remittance, retail, and operations platforms.
Define and implement modernization roadmaps for industries such as FSI, Retail, Media, Manufacturing, Education, and more.
Provide architectural advisory to CXO leaders, influencing technology investments and transformation priorities.
Work with business leaders to identify opportunities for innovation, automation, and value creation.
Strong background in enterprise architecture, cloud-native design, serverless, microservices, event-driven architectures, and API strategies.
Experience with AWS (Lambda, ECS, API Gateway, Bedrock, SageMaker) and Azure cloud services.
Proficient in modern programming ecosystems (C#, .NET, Java, Node.js, Python).
Solid understanding of SQL and NoSQL data stores, ETL pipelines, and data modernization patterns.
Exposure to blockchain fundamentals is an advantage.
Expertise with GenAI platforms (OpenAI, Claude, Llama, AWS Bedrock, Amazon Titan) and AI engineering patterns such as copilots, agents, RAG, and generative workflows.
Proven ability to embed AI into business processes and engineering lifecycle.
Demonstrated success leading large engineering teams and multi-pod delivery structures.
Ability to establish and enforce architecture governance, engineering standards, and modernization frameworks.
Strategic thinker with strong analytical and problem-solving abilities.
Excellent communication and stakeholder management at the executive level.
Comfortable operating in cross-functional, fast-paced, innovation-driven environments.
Bachelor’s degree in Computer Science, Engineering, or related technical field (e.g., B.E. CSE).
Master’s degree is a plus.