BI and AI Development Life Cycles
Data, BI and AI Development Life Cycles Data modelling Solution architecture principles and artefacts : Banking systems environment Banking business model Best practices for Quality Assurance (QA) Skills
optimization. Develop detailed business process models, user stories, and functional specifications to migration projects, and escalate as necessary to ensure timely resolution. Role Requirements: 5 years of experience
planning to ensure capacity exists at the right time with the right infrastructure
Job
process optimization; Develop and maintain data models, ensuring data accuracy, consistency, and integrity; with minimal supervision; Strong organisational and time management skills; Results-orientated; Customer
the company a competitive advantage.
Job Large System implementation, Critical (no down time) systems. Large Projects, Working under pressure
±8years experience and be able to manage their own time effectively to deliver projects in the project timeframe risk management, settlement process and operating model) Responsibilities: Manage own delivery on multiple ensure a successful solution delivery output Reduce time spent on projects by elicitation, analysis and optimisation
define system requirements and business operating models. Gather information and business requirements to
IBM InfoSphere MDM, or equivalent Implement data models, hierarchies, and relationships to support business planning, prioritizing and execution Demonstrate good time management, essential for good self-management Demonstrate similar platforms Strong understanding of data modeling, data quality management, and data governance
long term viability of the system.