AI Enablement Analyst

The AI Enablement Analyst is responsible for driving the successful adoption, education, and governance of AI tools across the organization. Working closely with Geoff Smith, SVP, AI & IT, this role designs and delivers engaging training programs, develops documentation and learning resources, and supports employees in maximizing the value of AI technologies. Acting as a key partner to teams across Product, Development, Marketing, Operations, and Executive Leadership, the successful candidate will develop scalable adoption strategies, measure usage and business impact, and continuously improve AI enablement programs. The position plays a critical role in fostering responsible AI usage, increasing productivity, supporting governance requirements, and building AI capability across global teams. Approximately 10% travel may be required to support training, enablement, and stakeholder engagement initiatives across regions. 

Key Responsibilities

Develop and deliver AI onboarding, training, and enablement programs that drive adoption and business value.

Create and maintain training materials, documentation, guides, FAQs, and self-service learning resources.

Build new learning content and enhance existing materials to support employee learning and engagement.

Serve as an AI subject matter expert, providing guidance on AI tools, best practices, and responsible usage.

Partner with Product, Development, Marketing, and business leaders to support AI adoption initiatives.

Facilitate virtual and in-person training sessions, workshops, and demonstrations.

Develop and implement adoption strategies, tracking usage, engagement, and program effectiveness.

Produce reports and insights on AI adoption, training outcomes, and key performance metrics for senior leadership.

Coordinate AI champion networks and promote the sharing of successful use cases and best practices.

Support AI governance activities, including documentation, policy adherence, and tool enablement.

Manage multiple projects and priorities in a fast-paced environment.

Collaborate with global teams and travel occasionally (approximately 10%) to support training and enablement initiatives. 

Skills, Knowledge and Expertise 

Strong written, verbal, presentation, and facilitation skills with the ability to train diverse audiences.

Hands-on experience using AI tools such as Claude, ChatGPT, Microsoft Copilot, GitHub Copilot, or similar technologies.

Strong analytical skills with experience creating reports and interpreting usage data and metrics.

Advanced proficiency in Microsoft Excel and data analysis.

Experience developing training materials, educational content, or learning programs.

Strong organizational skills with the ability to manage multiple projects and priorities simultaneously.

Experience with SharePoint, Microsoft 365, Power BI, or similar business tools is considered an asset.

Knowledge of privacy, compliance, or governance frameworks such as PIPEDA or GDPR is considered an asset.

Basic scripting or automation experience using Python or similar technologies is considered an asset.

Strong attention to detail and ability to handle confidential information with discretion and professionalism.

Collaborative, proactive, and customer-focused approach with a commitment to continuous learning and improvement.

Degree, diploma, or current enrollment in Computer Science, Information Systems, Business Technology, Education Technology, or a related field, or equivalent practical experience. 

Benefits 

At Dye & Durham we strive to be visionaries! As a leader in our field, we ensure our employees are ready for the next challenge in their journey with us by offering internal and external training opportunities. We offer competitive salaries and a whole host of benefits including healthcare, pension, company discounts, wellness programs, and paid days off to move house or volunteer for your favourite charity. 

Canada ONLY 

In line with the amended Employment Standards Act 2000, the salary range for this role is: $65K - $75K, dependent on assessment of skills during the interview process. 

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