Director leading RPA and intelligent automation architecture at Sun Life, a financial services company. Defining enterprise platforms, governance, roadmaps, and AI-enabled business process automation.
Responsibilities
Lead the architecture for Sun Life’s Intelligent Automation platforms
Define and maintain the RPA and Intelligent Automation domain architecture strategy, principles, standards, and technology roadmaps
Assess current-state architecture to identify capability gaps, risks, redundant technologies, technical debt, and modernization opportunities
Define future-state architectures for RPA, intelligent document workflows, low-code automation, process mining, workflow orchestration, AI-assisted operations, and Agentic AI applied to business processes
Establish architecture patterns, guardrails, decision frameworks, and reference architectures for secure, scalable, resilient, auditable, production-ready automation
Communicate architecture direction, options, trade-offs, investment considerations, risks, and expected outcomes to business leaders and Technology Executives
Drive platform standardization, reusable automation patterns, and approved citizen and professional development approaches
Collaborate with Enterprise, Domain, Solution, Application, Data, Cloud, Infrastructure, Security, Privacy, and AI Platform Architects
Lead domain architecture governance, including architecture reviews, risk assessments, exception management, and architecture decision records
Ensure alignment with security, privacy, responsible AI, resilience, operational, regulatory, and compliance requirements
Requirements
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline
10 or more years of progressive architecture experience
Significant experience designing, governing, and modernizing enterprise RPA, Intelligent Automation, workflow, or business process technology platforms
Deep expertise in at least one major Intelligent Automation capability
Broad knowledge across RPA, Intelligent Document Processing, Microsoft Power Platform, process mining, workflow orchestration, Generative AI, and Agentic AI integration patterns
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