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 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

Requirements

Experience and Skill Set Requirements:

Must Haves:

- 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. PowerDesigner, Visio) and other software tools
- Experience in using AI for data analysis which blends traditional strengths with current AI-centric abilities
- Experience with Public Sector enterprise architecture governance, committees and processes

Skill Set Requirements:

Information Architecture:

- 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:

o 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

- 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:

- 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:

- 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

📌 Information Architect - Senior (Toronto)
🏢 Maarut
📍 Toronto