November 8
• Data analysis and assisting in data modelling. • Analysis of Business requirements. • Research, definition and promoting of new use cases endorsing new technologies like AI and ML. • Contribution to business architecture models that reflect the organization’s strategies and goals. • Integration of the project strategies to ensure alignment with business strategies and drivers, and management priorities. • Analysis of the integration of different information systems. • Documentation of Business Requirements and Uses Cases. • Business model & Process analysis. • Functional requirements and business cases analysis. • Risk analysis. • Preparation of Business cases, Vision documents, Project Charters and Security Plans. • Participation in business and technical working groups, progress meetings and meetings with the users. • Assistance during relevant parts of testing, analysis, technical documentation, deployment, evaluation and reporting. • Evaluate systems for discrepancies or vulnerabilities. • Conduct research to find ways to improve operations. • Create and implement a business vision and multi-year plan. • Interaction with the solution architects, customer, users, project leaders and the developers. • Elaborate system integration and data migration approaches for legacy repositories. • Contribute to the definition and implementation of metadata standards for content and records management, including archival description. • Implement data publication and exchange solutions by exploiting potential advantages of linked open data and semantic web technologies.
• Good knowledge of large organisation administrative business processes. • Good knowledge of analysis/modelling tools and techniques (use case diagram, state diagram, entity relationship model, interaction diagrams etc.) • Good knowledge of business process analysis. • Understanding of interoperability technology (web services, message oriented middleware, service oriented bus, event architecture). • Good knowledge of Wiki and collaborative sites. • Knowledge of software development methodologies (e.g. RUP, Agile). • Knowledge of notations such as BPMN, UML… • Knowledge of tools such as ARIS, MS Visio… • Knowledge of security principles, standards and corresponding implementations in IT development projects. • Knowledge of Machine Learning, Deep Learning and Artificial Intelligence technologies would be an asset. • Knowledge of enterprise architecture best practices and goals. • Ability to give business presentations and actual experience with giving such presentations. • Ability to apply high quality standards. • Excellent interpersonal and communication skills. • Analysis and problem solving skills. • Strong capacity in preparing and documenting business analysis. • Capability to write clear and structured business documents. • Ability to prepare and lead business meetings. • Ability to train users on applications when required and actual experience with giving trainings. • Ability to provide services to satisfy business objectives, based on the quality, compliance, risk and security requirements, delivering more effective and efficient IT and organisation solutions and services aligned to organisational needs. • Ability to manage multiple priorities and work effectively in a fast-paced, high volume, results driven environment. • Ability to rapidly assess a situation and identify, isolate and communicate problems and issues.
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