The architect will map business capabilities analyze system overlap define future-state architectures and guide how our technology ecosystem (including Microsoft Azure M365 SaaS platforms data environments and AI tools) should evolve to support a modern scalable and integrated enterprise. Although the role will not be fully hands-on candidates with implementation or configuration experience within our technical operating environment will be preferred.
Scope of Work / Responsibilities
Enterprise Architecture & Capability Mapping
Classification: Protected A
- Develop current-state and future-state enterprise architecture (Conceptual Logical and Physical) aligned to AIs strategic business and divisional plans.
- Map business capabilities across funding applied research and revenue-generating functions to supporting systems.
- Identify system redundancies integration gaps and opportunities for simplification and modernization.
Systems & Platform Analysis
- Review the application and system landscape across corporate services research operations client-facing processes and operational technology.
- Recommend rationalization consolidation or modernization approaches.
Strategic Technology Alignment
- Ensure recommendations align with the Digital & IT Strategy Data Program AI Strategy cloud strategy and cybersecurity principles.
- Provide direction on how cloud SaaS network and data-center components should integrate and support enterprise capabilities.
Solution & Roadmap Guidance
- Support development of multi-year architecture roadmaps.
- Provide guidancenot hands-on designon solution patterns integrations and platform alignment (CRM HRIS Finance Contract Management Data Management and Governance).
Stakeholder Engagement
- Engage executives business units IT teams and subsidiaries to validate processes requirements and architectural decisions.
- Lead workshops discovery sessions and alignment discussions.
Documentation & Recommendations
- Produce architecture documentation capability maps diagrams and recommended future-state options.
- Provide inputs into investment planning sequencing and prioritization.
Requirements
Recommended Experience Level:
- 58 years of experience in enterprise architecture business architecture systems analysis and IT strategy roles in complex environments.
Qualifications & Experience Checklist: Requirement
- 58 years in EA business architecture systems analysis or IT strategy
Architecture or Systems Analysis Experience
- Experience mapping business capabilities or processes to systems
Complex Organization Experience
- Experience supporting multi-team or multi-function environments (public sector or research experience is an asset)
Cloud & SaaS Knowledge
- Working knowledge of cloud and SaaS environments (Microsoft preferred)
Microsoft Azure & M365
- Familiarity with Azure architecture governance tech stack and integration patterns as well as Microsoft 365 services (Teams SharePoint Exchange security/compliance features)
Data & Analytics Awareness
- Awareness of data platforms (e.g. Azure Fabric) BI and data management and governance practices.
Enterprise AI Experience
- Familiarity with AI in enterprise settings including automation process optimization LLMs and agent-based workflows
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The architect will map business capabilities analyze system overlap define future-state architectures and guide how our technology ecosystem (including Microsoft Azure M365 SaaS platforms data environments and AI tools) should evolve to support a modern scalable and integrated enterprise. Although t...
The architect will map business capabilities analyze system overlap define future-state architectures and guide how our technology ecosystem (including Microsoft Azure M365 SaaS platforms data environments and AI tools) should evolve to support a modern scalable and integrated enterprise. Although the role will not be fully hands-on candidates with implementation or configuration experience within our technical operating environment will be preferred.
Scope of Work / Responsibilities
Enterprise Architecture & Capability Mapping
Classification: Protected A
- Develop current-state and future-state enterprise architecture (Conceptual Logical and Physical) aligned to AIs strategic business and divisional plans.
- Map business capabilities across funding applied research and revenue-generating functions to supporting systems.
- Identify system redundancies integration gaps and opportunities for simplification and modernization.
Systems & Platform Analysis
- Review the application and system landscape across corporate services research operations client-facing processes and operational technology.
- Recommend rationalization consolidation or modernization approaches.
Strategic Technology Alignment
- Ensure recommendations align with the Digital & IT Strategy Data Program AI Strategy cloud strategy and cybersecurity principles.
- Provide direction on how cloud SaaS network and data-center components should integrate and support enterprise capabilities.
Solution & Roadmap Guidance
- Support development of multi-year architecture roadmaps.
- Provide guidancenot hands-on designon solution patterns integrations and platform alignment (CRM HRIS Finance Contract Management Data Management and Governance).
Stakeholder Engagement
- Engage executives business units IT teams and subsidiaries to validate processes requirements and architectural decisions.
- Lead workshops discovery sessions and alignment discussions.
Documentation & Recommendations
- Produce architecture documentation capability maps diagrams and recommended future-state options.
- Provide inputs into investment planning sequencing and prioritization.
Requirements
Recommended Experience Level:
- 58 years of experience in enterprise architecture business architecture systems analysis and IT strategy roles in complex environments.
Qualifications & Experience Checklist: Requirement
- 58 years in EA business architecture systems analysis or IT strategy
Architecture or Systems Analysis Experience
- Experience mapping business capabilities or processes to systems
Complex Organization Experience
- Experience supporting multi-team or multi-function environments (public sector or research experience is an asset)
Cloud & SaaS Knowledge
- Working knowledge of cloud and SaaS environments (Microsoft preferred)
Microsoft Azure & M365
- Familiarity with Azure architecture governance tech stack and integration patterns as well as Microsoft 365 services (Teams SharePoint Exchange security/compliance features)
Data & Analytics Awareness
- Awareness of data platforms (e.g. Azure Fabric) BI and data management and governance practices.
Enterprise AI Experience
- Familiarity with AI in enterprise settings including automation process optimization LLMs and agent-based workflows
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