Data Architect

About

The role is responsible for developing and aligning information architecture strategy with business processes and goals, applying practices in data definitions and stewardship, information lifecycle management, big data, integrated data security, and unified collaboration. The holder will ensure stakeholders have timely, reliable and secure information to react to market changes and manage the business effectively. Applicants need a relevant bachelor's degree and the stated technical and information-technology experience.

How to apply

Log in to the KCB Bank Recruitment portal and submit your application with a detailed CV.

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Responsibilities

• Provide information strategy and architecture for the Bank that meets business and enterprise needs, and to deliver design blueprints/artefacts that enable that architecture to be built and operated, as well as appropriately validated roadmaps.
• Design and guide the building of consistent cross functional solutions that are robust in answering deliverables that build enterprise data solutions regardless of technology or data platform.
• Analyzing and documenting requirements- Elicit business requirements using interviews, analysis, requirements workshops, surveys, site visits, business process descriptions, use cases, scenarios, business analysis, task and workflow analysis.
• Develop and maintain all architectures that impact the Information Architecture of the Bank, incorporating the management of structured and unstructured data standards, roadmaps, patterns and methodologies for all business solutions and technologies.
• Ensure that all solutions leverage, and consider enterprise data solutions that provide as much reuse benefit across multiple programs as feasibly possible.
• Provide the leadership in breaking down, planning and sequencing the business vision & strategy into technology deliverables and mapping to data needs. Liaise with program or data platforms leadership to report and plan solution dependencies.
• Provide data engineering and data solution governance around the programs and engineering teams to ensure build components adhere to defined cross program solutions.
• Evaluate and recommend emerging technologies for data management, storage, and analytics such as IoT, Big Data, Artificial intelligence, Machine Learning etc.
• Facilitate the identification and analysis of the Bank’s business drivers to deliver enterprise business, information, technical and solution architecture requirements.
• Assess the current Business framework to detect critical data deficiencies and recommend for improvement in line with the IT strategy and delivery priority of the IT/Bank programs.
• Coordination of integration architecture ensuring alignments of discrete project-based integration solutions with enterprise integration architecture principals, patterns, and standards.
• Develop conceptual, logical, and physical data models to support data analysis and business intelligence.
• Participate in the IT quality assurance process.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Information Technology or a related field of study.
• Professional certification in TOGAF, CBAP, PRINCE II/PMP/MSP/SMC/CSM/PMI-ACP will be added advantage.
• Minimum of 7 years’ Technical Experience.
• 5 years’ experience in Information Technology with focus Data Analysis, Data systems, Data models, Data Governance, data Architecture, Applications Architecture and /or Software Development.
• 5 years’ experience in in at least three of the following IT disciplines such as (Application architecture, Data Architecture, Integration architecture, application development, middleware, Microservices) in a multitier environment.
• 5 years’ experience of Operating and database systems (windows, Unix).
• Data governance, Data analysis, Data Engineering.
• Development of Principles, Standards and Guidelines on data Architecture.
• Exposure to multiple, diverse data engineering technologies and processing environments.
• Experience using model-based representations to collect, aggregate or disaggregate complex and conflicting information about the business.
• Excellent planning and organizational skills with ability to breakdown complex items to manageable components.