Information Architect

Assignment: RQ11403 - Information Architect - Senior Job Title: Information Architect Requisition (SS): RQ11403 Start Date: 2026-09-01 Client: Labour and Transportation Cluster End Date: 2027-08-31 Office Location: 87 Sir William Hearst Ave. / 400 University Ave / 301 St Paul St (St. Catharines) Organization: Labour and Transportation Cluster Ministry: Ministry of Public and Business Service Delivery and Procurement # Business Days: 257.00 Onsite Must have • 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 Description Skill Set Requirements: • 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 Experience and Skill Set Requirements Information Architecture - 40% • 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: • 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 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 - 20% • 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 - 15% • 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