AI Enablement Lead - name

Service-Link, a division of Harris ; is seeking an AI Enablement Lead who is responsible for driving the practical adoption of AI tools, processes, and thinking across ServiceLink's business operations.

This role does not sit within R&D and is not focused on product development. Instead, it exists to ensure that every department across the organization is equipped, educated, and empowered to leverage AI to improve how we work.

This is a cross-functional role with high visibility, reporting directly to the EVP.

This remote role welcomes candidates anywhere in Canada and the US.

Salary:

79K - 90K

AI & Innovation Mindset

We are committed to leveraging emerging technologies to improve how we work, serve our customers, and drive business outcomes. The successful candidate will demonstrate curiosity and a willingness to actively adopt and leverage AI tools to improve workflows, solve problems, and increase efficiency. Candidates should be comfortable using AI enabled technologies, including copilots, chat based AI assistants, and automation tools, as part of their everyday work while maintaining appropriate judgment, security, and compliance standards.

What your impact will be:

AI Adoption & Literacy

• Assess AI readiness and maturity across all non-R&D departments (e.g., Finance, Customer Service, Operations, HR, Sales, Professional Services)
• Develop and deliver AI training, workshops, and resources tailored to each department's needs and skill level
• Demystify AI for non-technical teams - translate capability into practical business value

Use Case Identification, Development & Delivery

• Partner with department heads to identify high-impact AI use cases within their workflows
• Build and maintain a prioritized backlog of AI opportunities across the organization
• Develop lightweight business cases for AI initiatives, including expected outcomes and effort
• Design, build, and deploy AI-driven solutions for business operations - including workflow automations, internal tools, bots, prompts, templates, and integrations
• Own the full lifecycle from concept through implementation and iteration
• Measure outcomes and refine solutions based on user feedback and real-world performance

Governance & Standards

• Establish and maintain guidelines for approved AI tools, acceptable use, and data handling
• Ensure AI usage across the org is consistent, ethical, and aligned with company policies
• Monitor the evolving AI landscape and make recommendations on new tools and practices

Cross-Functional Coordination

• Serve as the bridge between R&D's AI capabilities and the business's operational needs