Skill Set RequirementsLeadership experience in the development and implementation of application architectures at the specified experience level.Facilitation skills to engage multiple stakeholders involving I⁢ solutions, security, privacy, and accessibility considerationsSolid experience and knowledge of Information Architecture, Data Modelling, BI AnalyticsExperience in the use of Computer Aided Software Engineering (Case) tools (i.E. PowerDesigner, Visio) and other software toolsExperience 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 APIExperience in structured methodologies for the design, development and implementation of applicationsExtensive experience in systems analysis and design in large systems environmentsAwareness of emerging technologies, trends and directionExcellent analytical, problem-solving and decision-making skills; verbal and written communication skills; interpersonal and negotiation skillExperience in OPS Governance processes, Target State Architecture (TSA)



and different architecture domains deliverablesExperience RequirementsInformation Architecture – 40%3+ years of experience in the development and implementation of applications and databasesDemonstrated experience in providing information architecture interpretation advice and expertise to other project and/or enterprise level I⁢ 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 toolsExperience in using AI for data analysis which blends traditional strengths with current 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.Technical Skills – 25%Experience in Modular and composable application architectureExperience in Omni-channel delivery of government servicesSolid 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 requirementsExperience in Implementation and adoption of data mesh for storageExperience in systems analysis and design in a large, integrated systems environmentsExperience in the use of architecture design tools and cloud management tools such as Power Designer, DevOps, and Collaboration tools.Public Sector Experience – 20%Experience with Public Sector enterprise architecture governance, committees and processesExperience with Target State Architecture (TSA)Experience with Public Sector GO-ITS standards.Experience with Standards architecture deliverables and artefactsInformation Modeling Standards; Information ModelingHandbook (IMH); Common Data ElementsModel – Party LDMCommon Data Elements Model – Address LDMCommon Address Data Usage Patterns – LDMSoft Skills – 15%Excellent analytical, problem-solving and decision-making skills; verbal and written communication skills; interpersonal and negotiation skillsExcellent facilitation skills and process mapping skillsExcellent presentation skillsExcellent documentation skillsSupplier CommentsClosing date:, 12:00 p.M.Max. No. of submission: 1 (one)OnsiteMust haveDemonstrated experience in providing information architecture interpretation advice and expertise to other project and/or enterprise level I⁢ 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 abilitiesExperience with Public Sector enterprise architecture governance, committees and processes#J-18808-Ljbffr

📌 Information Architect (Toronto)
🏢 Softline Technology
📍 Toronto