Enterprise Architect

The role will focus deeply on: Asia, Africa geographies to guide their future architecture roadmap. Multi-cloud infrastructure with regards to policy and design framework. Work closely with GBS Business Design Lead, Chief of GBS and Functional Leads to establish new standards and develop target architectures for GBS Conduct architecture assessments and define target state solutions Provide the technical scope, defining and driving the best solution to meet the technical performance, scalability, flexibility, operations and capability needs of Functional teams Support the technology solutioning and estimating in proposals, planning and pricing Develop long-term technology strategies centered on business objectives Identify services that will improve performance, enhance support, and increase capabilities Envision and develop the long-term architectural direction, with emphasis on platforms/ Product reusable components. Formulate the Group Infrastructure policy and multi cloud framework and design, in conjunction with other domain architects representing Digital, Data, AI, Engineering, Security, operations and Local Business Units. Build future state architecture to encompass business strategy with design consideration of convergence, modernization, cost efficiency, business functionality, interpretability, cloud native design, resilience, security and future proofing. Build an ongoing view on emergent market landscape for technology insights, direction, vendors, and methods. Identify and evaluate alternative design options and trade-offs to handle both functional and non-functional requirements; Recommend designs that consider current applications architecture, operating models as well as end target state architecture. Responsible for end-to-end architecture, high- low-level designs of various systems and applications in line with Asia group strategy; Lead the preparation of detailed Solution specifications to form the basis for development modification of applications; Define integration patterns. Ensure adoption and implementation of defined solutions; Provide technical expertise to enable the application design iteration; Collaborates with technical teams to develop and agree system integration plans and review progress for Africa, India and Asia. Lead one of the Enterprise Architecture clusters when required to create harmony in application architectures. Ensure that Extensions and additions to the defined architecture are undertaken frequently in line with every evolving business and technology landscape but go through rigorous vetting processes. Ensure that the collaborative nature of capabilities such as design and engineering is coupled with tight governance around non-negotiables like security, availability and performance. Who we are looking for: Technical Skills work experience: Proven experience as a Enterprise Solution Architecture in last 3 years in insurance (Preferred) or banking industry, with overall experience between 10 to 15 years. Demonstrated ability to understand business strategy processes its successful translation into technology solutions. Experience with DevSecOps, cloud engineering, SRE (prefer Azure and GCP). Experience with software development and system administration Excellent knowledge of technical architecture and modern design patterns, including Web and mobile App, API Architecture, N-tier, event driven, microservices, serverless functions, No code/Low code concepts etc. Deep End-to-End Architecture understanding, including Enterprise Java Stack, Front-End technologies (React Native, Flutter), mobile applications (Android and iOS), iPAAS Middleware, Databases (SQL No SQL MongoDB atlas, Postgres etc), Data Lake, Data bricks, Data Warehouses, iSeries DB2 based systems, RESTful APIs. Experienced in streaming technology or frameworks such as Kafka/confluent cloud. Deep understanding of Enterprise Integration and Messaging Patterns, Microservice 12 Factor Governance practices. Familiar with one or more Architecture Frameworks (e.g. TOGAF etc.) Understanding about AI/ML Technologies like LLM, Azure/GCP AI Tools, Data Products concepts and experiences. Good understanding of DevOps.