Project Overview
Key Responsibilities
Deliver architectural artefacts as required by the project to successfully pass through project review governance points.
Provide information architecture interpretation advice and expertise to other project and/or enterprise level I⁢ project teams.
Provide business architecture advice, focusing on specific business domains, business goals, processes, information, roles, responsibilities, locations, events and alignment with business strategy.
Lead complex application architecture reviews and assessments, development and/or support projects for enterprise initiatives.
Qualifications & Requirements
REQUIRED Must be able to work onsite at 87 Sir William Hearst Ave, Toronto / 400 University Ave, Toronto / 301 St Paul St, St. Catharines
Leadership 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 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
Demonstrated 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 with Public Sector enterprise architecture governance, committees and processes
EVALUATION CRITERIA 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⁢ 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 recent 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
Key Skills & Competencies
Information Architecture, Data Modelling, BI Analytics, CASE tools, PowerDesigner, Visio, AI, Prompt Engineering, Machine Learning, Automation, ETL, Generative AI, Azure App Services, RESTful API, Cloud Native Architecture, Structured Methodologies, Systems Analysis, Emerging Technologies, OPS Governance, Target State Architecture, Architecture Domains, Business Architecture, Modular Application Architecture, Omni-channel Delivery, Cloud Design, Cloud Subscription, Microservice Architecture, API Management, Data Ingestion, Data Mesh, Architecture Design Tools, Cloud Management Tools, DevOps, Collaboration Tools, Public Sector Enterprise Architecture, GO-ITS Standards, Information Modeling Standards, Information Modeling Handbook, Common Data Elements Model, Party LDM, Address LDM, Common Address Data Usage Patterns

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📌 Information Architect (Ontario)
🏢 GovTech Talent Solutions
📍 Ontario