Director, Domain Enterprise Architect (AI)
HybridToronto, Ontario, Canada or Waterloo, Ontario, Canada
Job Summary
Define and maintain the enterprise AI architecture strategy, establishing target-state roadmaps, standards, and guardrails for Generative AI, Agentic AI, and intelligent automation. Establish visibility into global AI investments to drive reuse, consolidation, and alignment with business priorities while chairing governance forums for architecture decisions. Own enterprise AI standards, reference models, and controls for risk, security, and regulatory compliance, partnering with Risk, Legal, and Data leaders to mature responsible AI practices. Lead centralized AI portfolio management, coordinate roadmap activities across business groups, and serve as the trusted advisor to executives on strategic direction and investment planning. Build and mentor a high-performing AI architecture community, develop adoption practices, and ensure initiatives generate measurable business value.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field
- 10+ years of architecture leadership experience
- 5+ years leading enterprise AI, data, analytics, digital transformation, or emerging technology domains
- Proven experience defining enterprise technology strategies and roadmaps
- Experience influencing senior executives and large-scale investment decisions
- Experience within highly regulated industries, preferably insurance, wealth management, banking, or financial services
- Demonstrated experience leading enterprise-wide architecture programs and governance functions
- Deep expertise in Generative AI, Agentic AI, automation, large language models, AI platforms, orchestration frameworks, and enterprise AI operating models
- Strong understanding of architecture governance, roadmaps, standards management, risk, security, and business capability planning
- Exceptional executive communication capability, strong facilitation, negotiation, and stakeholder management skills
- Highly organized and execution-focused, with strong planning, prioritization, and governance management skills
- Ability to connect AI investments directly to business outcomes, productivity gains, client experience improvements, operational efficiency, and risk reduction
Desired Qualifications
- Master's degree preferred
- Advanced architecture certifications preferred
- AI-specific certifications highly desirable
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