Remote AI Enablement Lead

3 days ago

Québec, Quebec, Canada Bilinguallink Full-time

AI Enablement Lead Level: P4 | High Proficient
Location: Remote | Canada
Reports To: Grace Barbosa-Chin, Senior Director, P&C
Type: Permanent | Full-Time
About Solink At Solink, our mission is to safeguard what matters most. We provide businesses with the tools to know sooner and act faster by transforming video security into real-time operational insights.
Our cloud-based platform integrates seamlessly with your existing cameras and systems, turning them into intelligent sensors that detect and interpret key moments. This empowers teams to make data-driven decisions, enhance security, and improve operational efficiency.
Trusted by over 35,000 locations across 60+ countries – including brands like McDonald's and JYSK – Solink delivers clarity when it counts. Our solutions help businesses reduce shrink, optimize performance, and respond proactively to potential threats.
We're growing rapidly, earning industry recognition, and scaling with purpose. We've been recognized by Deloitte's Fast 50TM and Fast 500TM, Business Intelligence Group, and as one of Ottawa's Best Places to Work. And we're just getting started
The Role We are looking for an AI Enablement Lead to help build and scale how our organization works with AI. This role sits within People & Culture because our opportunity with AI is fundamentally about people, capability, and how work gets done. The AI Enablement Lead will be responsible for building the skills, habits, systems, and community that enable employees to use AI effectively, responsibly, and consistently across the company.
This is not an AI engineering role. Instead, this person will operate at the intersection of AI, learning, organizational change, and business transformation. A core part of the role will be building and leading our AI Superteam: a cross-functional network of AI experts and champions embedded within each department. These individuals will maintain their existing functional reporting lines while having a dotted-line relationship to the AI Enablement Lead. Together, this network will identify opportunities, test new ways of working, share best practices, and scale high-impact AI use cases across the organization.
The ideal candidate is both AI-fluent and highly people-oriented. They do not need to be the deepest technical AI expert in the company. They need to understand what AI can enable, translate that into practical changes in how people work, and bring people together to make those changes stick.
What You'll Do AI Enablement Strategy Develop and execute a company-wide strategy for AI capability, adoption, and enablement in partnership with leadership, Technology, Security, Legal, and business teams.

Identify the skills, behaviours, and ways of working employees will need as AI becomes increasingly embedded in our work.

Build a practical roadmap for moving the organization from AI awareness to meaningful adoption and measurable impact.

AI Superteam Build, coordinate, and lead a cross-functional AI Superteam made up of designated AI experts from across the organization.

Establish a clear operating model, expectations, priorities, and cadence for the Superteam.

Create a forum where teams can share experiments, successful use cases, challenges, and emerging AI practices.

Partner with department AI experts to identify high-value opportunities and help move promising experiments from individual use cases into scalable organizational practices.

Create mechanisms for knowledge-sharing so that an AI innovation in one function can be discovered and adapted by others.

Learning & Capability Building Design and deliver role-based AI learning experiences for employees, managers, and leaders.

Build practical resources such as playbooks, use-case libraries, prompt frameworks, guides, workshops, and office hours.

Help employees develop the judgment required to evaluate AI-generated work for accuracy, quality, usefulness, completeness, and appropriate human review.

Develop AI learning pathways that evolve as tools and organizational needs change.

Adoption & Change Management Drive adoption of AI tools and new AI-enabled ways of working across the organization.

Partner with leaders and teams to identify where AI can meaningfully improve productivity, quality, decision‐making, or employee experience.

Help teams move beyond experimentation toward sustainable changes in workflows and operating practices.

Identify and address barriers to adoption, including capability gaps, confidence, behaviour, process friction, and unclear expectations.

Measurement &