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