AI Enablement Lead

Solink

2d•Remote

About The Position

Solink is seeking an AI Enablement Lead to build and scale AI adoption within the organization. This role focuses on people, capability, and transforming how work gets done, rather than AI engineering. The Lead will be responsible for fostering employee skills, habits, systems, and community for effective and responsible AI use. A key aspect of this role is building and leading the AI Superteam, a cross-functional network of AI experts and champions embedded in each department. This network will identify opportunities, test new ways of working, share best practices, and scale high-impact AI use cases. The ideal candidate is AI-fluent, people-oriented, understands AI's potential, can translate it into practical work changes, and can unite people to implement these changes.

Requirements

4+ years of experience in learning & development, organizational development, enablement, change management, transformation, or a related field
Demonstrated experience designing and scaling organizational learning or capability programs
Experience driving adoption of new technologies, processes, or ways of working
Experience working cross-functionally with senior stakeholders and distributed teams
Experience building communities of practice, champion networks, or similar grassroots enablement models is highly valued
Strong practical understanding of generative AI and modern AI tools
Hands-on experience using AI to improve real-world knowledge work
Ability to distinguish between interesting AI experimentation and genuinely valuable business applications
Strong understanding of responsible AI use, including human oversight, data considerations, quality, and appropriate judgment
Curiosity and comfort operating in a rapidly changing technology landscape
Exceptional facilitator and communicator
Strong change-management instincts and a bias toward experimentation and learning
Candidates must undergo a criminal records check upon hire
Be a Canadian Citizen (dual citizens included), or eligible to work in Canada
Be willing to comply with Solink’s own security policies and standards.

Nice To Haves

AI Superteam: a cross-functional network of AI experts and champions embedded within each department.

Responsibilities

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.
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.
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.
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.
Define and track meaningful measures of AI adoption, capability, and impact.
Assess where employees and teams are making effective use of AI and where additional enablement is required.
Gather feedback and insights from the AI Superteam and broader employee population to continuously improve our AI strategy and programs.
Share progress, learnings, and recommendations with senior leadership.