We would like to present to you a new job opportunity and I think you may find it interesting.
If you are interested kindly send the following documents to
[email protected] by Wednesday, Sep 2, 10;00 AM EST if that interests you and matches your profile.
Without mandatory documents, we cannot submit a candidate.
- Updated Resume in word format (Mandatory)
- References (Mandatory)
- Expected hourly rate (Mandatory)
- Visa Status (Mandatory)
- LinkedIn ID (Mandatory)
Client: Ministry of Public and Business Service Delivery and Procurement Work Location: 87 Sir William Hearst Ave, Toronto, Ontario, Onsite Estimated Start Date: 2026-09-01 Estimated End Date: 2027-08-31
#Business Days: 257.00
Extension : Probable after the initial mandate
Hours per day or Week: 7.25 hours per day
Security Level: No Clearance Required
Must Have
- 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 in the use of Computer Aided Software Engineering (Case) tools (i.e. Power Designer, 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
- 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 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.
- 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⁢ 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 Modelling Standards;
- Information Modelling 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
Note
- Onsite
📌 Information Architect - Senior () (Toronto)
🏢 S M Software Solutions
📍 Toronto