RQ11403 - Information Architect - Senior

Description:

• Leadership experience in the development and implementation of application architectures at the specified experience level.
  


• Facilitation skills to engage multiple stakeholders involving I&IT solutions, security, privacy, and accessibility considerations
  


• Solid experience and knowledge of Information Architecture, Data Modelling, BI Analytics
  


• Experience in the use of Computer Aided Software Engineering (Case) tools (i.e. PowerDesigner, Visio) and other software tools
  


• Experience in using AI for data analysis which blends traditional strengths with new AI-centric abilities:
  

• Prompt Engineering: Communicating effectively with AI tools to get desired analysis and insights.
  


• Machine Learning Literacy: Understanding how ML models work (prediction, pattern recognition) and when to apply them.
  


• Automation Mastery: Using AI to automate data collection, cleaning (ETL), and workflow building.
  


• Generative AI for Analytics: Using AI to speed up tasks like summarization or initial data exploration.
  

• Solid experience and knowledge of cloud native technology and architecture to support applications with high sensitive data such as Azure App Services and RESTful API
  


• Experience in structured methodologies for the design, development and implementation of applications
  


• Extensive experience in systems analysis and design in large systems environments
  


• Awareness of emerging technologies, trends and direction
  


• Excellent analytical, problem-solving and decision-making skills; verbal and written communication skills; interpersonal and negotiation skill
  


• Experience in OPS Governance processes, Target State Architecture (TSA) and different architecture domains deliverables 
  

Requirements

Experience and Skill Set Requirements:

Must Haves:

• Demonstrated experience in providing information architecture interpretation advice and expertise to other project and/or enterprise level I&IT project teams.
  


• Demonstrated experience in providing business architecture advice, focusing on specific business domains, business goals, processes, information, roles, responsibilities, locations, events and alignment with business strategy.
  


• Experience in the use of Computer Aided Software Engineering (Case) tools (i.e. PowerDesigner, Visio) and other software tools
  


• Experience in using AI for data analysis which blends traditional strengths with new AI-centric abilities
  


• Experience with Public Sector enterprise architecture governance, committees and processes
  

Skill Set Requirements:

Information Architecture:

• 3+ years of experience in the development and implementation of applications and databases
  


• Demonstrated experience in providing information architecture interpretation advice and expertise to other project and/or enterprise level I&IT project teams.
  


• Demonstrated experience in providing business architecture advice, focusing on specific business domains, business goals, processes, information, roles, responsibilities, locations, events and alignment with business strategy.
  


• Demonstrated experience in delivering architectural artefacts as required by the project to successfully pass through the project review governance points.
  


• Demonstrates previous leadership in complex application architecture reviews and assessments, development and/or support projects for enterprise initiatives.
  

·      Experience in the use of Computer Aided Software Engineering (Case) tools (i.e. PowerDesigner, Visio) and other software tools

·      Experience in using AI for data analysis which blends traditional strengths with new AI-centric abilities:

o  Prompt Engineering: Communicating effectively with AI tools to get desired analysis and insights.

• Machine Learning Literacy: Understanding how ML models work (prediction, pattern recognition) and when to apply them.
  


• Automation Mastery: Using AI to automate data collection, cleaning (ETL), and workflow building.
  


• Generative AI for Analytics: Using AI to speed up tasks like summarization or initial data exploration.
  

Technical Skills

• Experience in Modular and composable application architecture
  


• Experience in Omni-channel delivery of government services
  


• Solid experience in cloud design and solution including infrastructure design with cloud subscription.
  


• Solid experience in cloud native architecture including microservice architecture, RESTful API, API management.
  


• Experience in Data ingestion informed by consumption requirements
  


• Experience in Implementation and adoption of data mesh for storage
  


• Experience in systems analysis and design in a large, integrated systems environments
  


• Experience in the use of architecture design tools and cloud management tools such as Power Designer, DevOps, and Collaboration tools. 
  

Public Sector Experience:

• Experience with Public Sector enterprise architecture governance, committees and processes
  


• Experience with Target State Architecture (TSA)
  


• Experience with Public Sector GO-ITS standards.
  


• Experience with Standards architecture deliverables and artefacts
  


• Information Modeling Standards; 
  


• Information Modeling Handbook (IMH); 
  


• Common Data Elements Model – Party LDM 
  


• Common Data Elements Model – Address LDM 
  


• Common Address Data Usage Patterns – LDM 
  

Soft Skills:

• Excellent analytical, problem-solving and decision-making skills; verbal and written communication skills; interpersonal and negotiation skills
  


• Excellent facilitation skills and process mapping skills
  


• Excellent presentation skills
  


• Excellent documentation skills