Description:

• 
  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

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&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

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&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:

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