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 AI’s 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 guidance—not hands-on design—on 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:
5–8 years of experience in enterprise architecture, business architecture, systems analysis, and IT strategy roles in complex environments.
Qualifications & Experience Checklist: Requirement
5–8 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
