Director, IT Architecture

We are seeking a hands-on, strategic Director of IT Architecture to guide the evolution of our enterprise technology ecosystem in a rapidly growing organization.

This role reports to the VP of IT and serves as the architectural authority across infrastructure, enterprise platforms, endpoint management, and technology governance. This role will partner closely with Security, Compliance and the AI Team and Center of Excellence, to support the enablement of secure, scalable and well-integrated solutions within the enterprise environment.

The Director will define and execute a modern enterprise architecture strategy, lead software consolidation and value reclamation efforts, establish measurable performance frameworks, and build a strong internal architecture community while supporting an AI-first approach to technology.

This position blends strategic leadership with technical depth. The ideal candidate is comfortable setting enterprise standards while remaining engaged in design reviews, proof-of-concepts, complex cross-platform decisions and tier 3 hands-on technical support.

The role will also play an important part in helping the organization safely adopt emerging technologies by working closely with internal AI leaders, security, compliance, and business teams to translate experimentation into scalable enterprise solutions.

Core Responsibilities

1. Enterprise Architecture Strategy & Governance

· Define and execute a multi-year enterprise architecture roadmap aligned to company business priorities and growth.

· Establish architectural principles, standards, and reference patterns.

· Provide architectural oversight across SaaS platforms, infrastructure, endpoint management, identity, data, and integrations.

· Serve as the escalation point for complex, cross-functional technical decisions and problem resolution.

· Chair and formalize an Architecture Review Board (ARB).

· Help ensure emerging technologies, including AI-driven solutions, are introduced into the enterprise environment in a structured, secure, and scalable way.

2. Endpoint & Workforce Platform Architecture

· Provide architectural direction for workforce platforms, including:

· Hardware and approved software standards

· Management platforms (JAMF, Intune, Tenable, SysAid...)

· Standardize device lifecycle management, zero-touch provisioning, and compliance enforcement including patch management.

· Ensure endpoint architecture aligns with security and regulatory requirements while meeting the business need for flexibility.

· Drive automation and operational efficiency across device management processes.

3. Data Engineering & Data Architecture

· Provide architectural leadership for enterprise data foundations, including data lake strategy and modern data platforms.

· Establish scalable patterns for data ingestion, transformation, storage, and access.

· Define data engineering standards, tooling guidance, and integration frameworks.

· Develop and enforce data governance policies covering:

· Data quality and lineage

· Access controls and privacy

· Retention and lifecycle management

· Compliance with regulatory requirements

· Partner with Compliance, Security, RevOps and Operations teams to ensure data platforms support reporting, automation, and AI initiatives.

Additional Responsibilities & Experience

1. AI Enablement & Integration (In Partnership with Operations)

· Partner with the Operations AI team, which own the company’s AI strategy and use cases, to help operationalize an AI-first approach to technology across the enterprise.

· Ensure AI tools selected by internal business units are:

· Securely integrated into enterprise systems

· Governed according to data, compliance, and risk standards

· Architected for reliability, scale and maintainability

· Develop repeatable integration patterns for AI tools and automation platforms.

· Support evaluation of platforms in collaboration with the AI team, including exposure to large language model ecosystems such as Claude from Anthropic.

· Define guardrails for responsible AI usage in coordination with Compliance, Security and Operations.

· Establish architectural patterns and guardrails that allow teams to adopt emerging technologies safely while maintaining enterprise standards.

2. Infrastructure & Cloud Architecture

· Guide architectural direction across:

· Cloud platforms

· Identity and access management

· Networking and secure access

· Collaboration ecosystems

· Establish infrastructure standards emphasizing scalability, resilience, and automation.

· Promote Infrastructure-as-Code, change and configuration management best practices.

· Ensure architectural decisions support both current business needs and future company growth.

3. Software Consolidation & Value Reclamation

· Lead enterprise-wide software rationalization initiatives.

· Identify redundant platforms and overlapping capabilities.

· Reduce license sprawl and shadow IT.

· Drive vendor consolidation and contract optimization in partnership with Finance.

· Quantify savings, cost avoidance, and operational improvements.

4. Metrics & Performance Management

· Establish and manage a clear framework to measure architectural effectiveness, efficiency, and risk.

· Create appropriate KPIs, KRIs and OKRs to measure and drive improvements to the services provided focusing on reliability, modernization and others.

· Deliver concise operational dashboards that enable the team to manage the business effectively and create executive dashboards that link architecture decisions to business value, cost optimization, and risk reduction.

5. Build and Lead an Internal Architecture Community

· Establish and chair an Architecture Review Board.

· Create an approval process and forum for new software and hardware patterns to be added to the company portfolio.

· Develop architectural documentation standards and decision records.

· Mentor senior technologists and emerging architects.

· Foster cross-functional collaboration between IT and all other business units.

· Promote a culture of thoughtful standardization balanced with innovation.

· Act as a key architectural partner to the AI Steering Committee, helping translate successful AI experiments and use cases into scalable enterprise solutions.

Qualifications

1. Experience

· 12+ years in enterprise IT, with 5+ years in architecture leadership.

· Experience in mid-sized, scaling organizations (500–2000 employees).

· Demonstrated success leading platform modernization, data platform evolution, and consolidation initiatives.

· Strong experience in End User Computing management, SaaS ecosystem governance, infrastructure architecture, and data engineering patterns.

· Direct experience with endpoint management platforms such as Jamf and Intune.

2. Technical Expertise (including hands-on)

· Enterprise architecture frameworks and governance models

· Endpoint technology (Apple, Windows, Linux) and device lifecycle management

· Data lake and data engineering architecture

· Cloud and infrastructure architecture

· Identity and access management

· Risk and compliance considerations

· Familiarity with managing emerging technologies including AI and automation platforms and their integration into enterprise SaaS ecosystems.

3. Leadership Profile

· Strategic and systems-oriented thinker.

· Hands-on technologist who maintains credibility with engineering teams.

· Data-driven leader who manages through measurable outcomes.

· Effective cross-functional collaborator, particularly Security, Compliance and AI Operations, leadership and Center of Excellence.

· Strong executive communication skills.

· Comfortable working in environments where emerging technologies evolve rapidly, balancing experimentation with governance.

The expected base salary range for this role is C$132,768.00 - C$ 165,960.00, and individuals may be eligible to participate in our variable compensation program.

*Final compensation may vary based on experience, skills, designations, and market conditions.

This posting is for an existing vacancy.

This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.