Senior Enterprise Data Architect

Sun Life

Senior Enterprise Data Architect at Sun Life, focusing on AI architecture and governance in financial services. Collaborating across teams to define and implement enterprise AI capabilities.

Posted 7/22/2026full-timeToronto • 🇨🇦 CanadaSenior💰 CA$90,000 - CA$140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and maintaining enterprise AI services and architectures, with a strong focus on Generative AI and governance controls. Proven ability to evaluate emerging technologies and collaborate with stakeholders to drive architecture reviews and approvals in regulated environments.

Highest-signal resume keywords

Enterprise AI ArchitectureGenerative AI DevelopmentArchitecture GovernanceRisk AssessmentArchitecture Standards Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Architecture PatternsAI Governance ControlsMachine LearningData ScienceAutomationOrchestration FrameworksModel Access PatternsArchitecture DocumentationArchitecture ReviewTechnology Leadership

Soft Skills

CollaborationStrategic ThinkingCommunicationProblem SolvingStakeholder Engagement

Tools & Technologies

AWSAzureAI PlatformsArchitecture RepositoriesService BacklogsGovernance Artifacts

Certifications & Qualifications

TOGAFIASAAWS CertificationAzure Certification

Industry Keywords

Financial ServicesInsuranceWealth ManagementRegulated EnvironmentsEnterprise Design Reviews

Tech Stack

Tools & technologies

AWSAzure

About the role

Key responsibilities & impact

Define, document, and maintain enterprise AI services, capabilities, standards, patterns, and reference architectures.
Develop reusable architectural building blocks supporting Generative AI, Agentic AI, orchestration frameworks, retrieval architectures, model access patterns, and AI governance controls.
Evaluate emerging AI technologies, vendor capabilities, and platform offerings to determine suitability for enterprise adoption.
Drive architecture reviews, governance approvals, risk assessments, and design reviews for AI-related initiatives.
Collaborate with architecture review boards, technology governance forums, and risk stakeholders to achieve timely approvals.
Partner with business groups to understand emerging needs, challenges, and strategic opportunities.
Maintain detailed roadmaps, service backlogs, architecture repositories, and governance artifacts.

Requirements

What you’ll need

Bachelor’s degree in computer science, Engineering, Information Systems, Data Science, or a related discipline
Master's degree an asset
TOGAF, IASA, AWS, Azure, or equivalent architecture certifications preferred
Experience 8+ years of architecture, engineering, or technology leadership experience
5+ years focused on AI, analytics, automation, machine learning, or modern data platforms
Experience operating within regulated financial services, insurance, wealth management, or similar environments
Experience participating in architecture governance, standards development, and enterprise design reviews
Experience developing architecture patterns, standards, and reference architectures

Benefits

Comp & perks

Health insurance
Mental health support programs
Flexible work arrangements
Professional development opportunities
Employee well-being programs