In this role, you will create deliverables, architecture design and define the multi-year technology roadmap for managing the departments portfolio of ‘to be’ and ‘as is’ solutions where it relates to information and data management, integration services, and Artificial Intelligence (AI) and automation services.
You will work closely with key stakeholders, and external vendors to ensure the right advice and direction is provided in relation to building data and integration-centric offerings and helping our customers face technical challenges as they transition from traditional integration platforms to service oriented architectures and management processes to support the departments operations and organisational capability.
Contribute to the development and review of foundation and solution roadmaps, blueprints, plans and designs, applying best practice integration and brokerage principles and practices to ensure successful implementation of business initiatives.
Lead the continued development of the Data Framework and enterprise data architecture, including master data management and Integration services.
Contribute to the design of technology and business integration solutions that address issues and risks, provides value to clients, and ensures solutions comply with relevant legislation and industry standards.
Research and evaluate data integration, AI, automation and cloud services trends, including new and emerging technologies that could enable better integration solution designs that deliver new and innovative products and services.
Build and maintain effective networks and liaisons, between internal teams, projects and other internal and external stakeholders to negotiate mutually beneficial outcomes in the development of enterprise architecture.
Exposure to multiple, diverse technologies, platforms, and processing environments and/or system analysis activities on complex Commercial-Off-The-Shelf (COTS) products.
Experience across Data Integration Technologies, such as ETL Tools, integration and middleware platforms such as (Mulesoft, Boomi or cloud native services in Azure or AWS),
Demonstrated experience in data pipeline and familiarity with real-time data streaming architecture.
Awareness and understanding of AI and Machine Learning models Awareness of ICT framework or similar process methodologies and/or qualification in Information Technology or Computer Science.
Experience in hybrid environments integrating on-premises and cloud solutions.
Strong SQL and Data modelling skills with ability to query and manipulate data across multiple data base and awareness of the various data models (e.g. NoSQL)
Knowledge and/or experience in both Waterfall, Agile and/or PRINCE 2 project methodologies.
Initial contract for 9 months, with possible extensions
Flexible working arrangements, 2 days per week WFH
For a confidential chat, please contact George on 0499 476 677 or via email at gwright@exclaim-it.com.au. We would be more than happy to provide you with additional information and assist in the application process.
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