JOB PURPOSE

The holder of this role will be responsible of developing and aligning information architecture strategy with business processes and goals and applying best practices in areas such as data definitions and stewardship, information lifecycle management, big data, integrated data security, and unified collaboration. He/She will ensure different stakeholders have the timely, reliable and secure information they need to react quickly to market changes and manage the business effectively

KEY 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. 1. sired future state

Academic & Professional Particulars

Education

Bachelor's degree in Computer Science, Computer Engineering, Information Technology or a related field of study

Professional Qualifications

• TOGAF, CBAP
• Project Management/ Scrum Certifications PRINCE II/PMP/MSP/SMC/CSM/PMI-ACP

Experience

Total Minimum No of Years’ Technical Experience Required: 7 years

Information Technology with focus Data Analysis, Data systems, Data models, Data Governance, data Architecture, Applications Architecture and /or Software Development: 5 years

Experience 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

Operating and database systems (windows, Unix): 5 years

• 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. 1. sired future state

• Data definitions
• Data stewardship
• Information lifecycle management
• Big data
• Integrated data security
• Unified collaboration
• Data engineering
• Data solution governance
• IoT
• Artificial intelligence
• Machine Learning
• Integration architecture
• Data models
• Business intelligence
• Data Analysis
• Data systems
• Data Governance
• Data Architecture
• Applications Architecture
• Software Development
• Application architecture
• Integration architecture
• application development
• middleware
• Microservices
• Operating systems
• database systems

• Bachelor's degree in Computer Science, Computer Engineering, Information Technology or a related field of study
• TOGAF
• CBAP
• Project Management/ Scrum Certifications PRINCE II/PMP/MSP/SMC/CSM/PMI-ACP