Director, Domain Enterprise Architect; AI

You are as unique as your background, experience and point of view. Here, you'll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do.

At Sun Life, we're driven by our

Purpose:

helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful.

When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives.

Discover how you can make a difference in the lives of individuals, families and communities around the world.

Job Description:

The Director, Domain Enterprise Architect (Artificial Intelligence - AI) is accountable for the enterprise AI architecture domain, ensuring all AI, Generative AI, Agentic AI, machine intelligence, and intelligent automation investments across global operations align to a coherent strategic vision.

This leader establishes the enterprise AI domain strategy, target-state architecture, standards, roadmaps, governance frameworks, reference architectures, and investment priorities required to scale AI responsibly across the organization.

The Director functions as the senior architecture authority for AI, partnering closely with business executives, enterprise architects, platform leaders, risk functions, and technology teams to ensure AI investments are coordinated, reusable, governed, and strategically aligned.

This role balances long-term strategic planning with strong execution leadership, ensuring the enterprise AI roadmap translates into measurable business outcomes while maintaining regulatory compliance, operational excellence, and architectural consistency.

• Define and maintain the enterprise AI architecture strategy.
• Establish target-state AI domain architecture and multi-year roadmaps.
• Create AI reference models, standards, principles, policies, and guardrails.
• Ensure AI strategy aligns with enterprise business strategy, technology strategy, and operating model.

• Establish visibility into AI investments across global business units.
• Identify duplication, fragmentation, risk, and technology overlap.
• Drive enterprise-wide reuse and strategic consolidation of AI capabilities.
• Guide investment decisions toward scalable enterprise platforms and services.

• Own enterprise AI standards, approved technologies, architecture patterns, and reference architectures.
• Chair and influence governance forums related to AI architecture decisions.
• Evolve enterprise controls governing AI deployment, autonomy, human oversight, security, risk, and compliance.
• Oversee exception management and architecture decision processes.

• Develop centralized AI roadmaps supporting business capabilities and strategic priorities.
• Coordinate roadmap activities across business groups and technology organizations.
• Ensure foundational AI investments support future enterprise demand.
• Assess emerging technologies and define adoption strategies.

• Serve as the trusted advisor to executives regarding AI strategy and investment planning.
• Communicate AI opportunities, risks, and architectural direction.
• Facilitate strategic alignment between business leaders and technology organizations.
• Present architecture recommendations to leadership and governance bodies.

• Establish enterprise Responsible AI architecture principles.
• Ensure AI initiatives comply with regulatory expectations, model governance requirements, privacy obligations, and risk frameworks.
• Drive transparency, explainability, accountability, and human oversight standards.
• Partner with Risk, Security, Compliance, Legal, and Data leaders to mature enterprise AI governance.

• Build and mentor a high-performing AI architecture community.
• Develop AI architecture practices, methodologies, and knowledge-sharing programs.
• Support Solution Architects and other Domain Architects in adopting enterprise standards.
• Foster innovation while maintaining governance and execution discipline.

• Define measures supporting AI investment value realization.
• Track enterprise outcomes and adoption trends.
• Ensure strategic AI initiatives generate measurable business value.
• Continuously evolve roadmaps based on outcomes and feedback.

• Well-defined and widely adopted enterprise AI strategy and roadmap.
• Reduction of redundan