AI Enablement Specialist

Armstrong Collective•Vancouver, BC

6d•CA$70,000 - CA$85,000•Hybrid

About The Position

Reporting to the Director, Corporate IT Services, the AI Enablement Specialist is the bridge between powerful AI tools and the people across our organization. The role will work directly with citizen developers, business users, and IT / Product teams — helping them discover, adopt, and use AI responsibly, and shaping how AI becomes part of how we work. Working across three areas of accountability, the role will proactively equip people with skills and confidence to use AI tools effectively, manage subscriptions, accounts, and responsible usage policies, and champion responsible AI use and surface insights back to leadership.

Requirements

Degree or diploma in Computer Science, Information Technology, Business Systems, or equivalent experience.
Certified AI Enablement Professional (KPII)
7+ years of experience in an IT product management, operations, or process improvement role, with at least 2 years working with Enterprise AI tools and platforms, with a focus on training and adoption.
Understanding of core AI fundamentals such as prompt engineering, context engineering, custom GPTs, and agentic AI.
Understanding of how SLMs and LLMs work at a conceptual level — enough to explain hallucination, context windows, and model limitations to a non-technical audience.
Familiarity with enterprise AI and Data platforms and their admin consoles (e.g. Claude Code, Microsoft 365 Copilot, Microsoft Foundry, Power BI, Microsoft Fabric).
Hands-on experience with AI productivity tools (e.g. Claude, Copilot, ChatGPT, Gemini) in a professional context, with the ability to adapt quickly to new tools and evolving technologies.
Demonstrated background in training, enablement, change management, or digital adoption roles with a commitment to continuous learning and skill development.
Working knowledge of data classification principles and how they apply to what can and cannot be shared with AI tools.
Understanding of key compliance frameworks relevant to AI use, such as GDPR, ISO 27001, PCI.
Confident communicator who can explain technical concepts clearly, while adapting communication style to diverse audiences.
Strong learning agility with the ability to continuously develop expertise and stay current in a rapidly evolving AI landscape.
Demonstrates ownership, accountability, and sound judgment in decision-making and problem-solving.
Able to effectively prioritize, manage time, and deliver on commitments in a dynamic environment.
Strong interpersonal and collaboration skills, with the ability to build trust, contribute to team success, and maintain positive working relationships.
Demonstrates curiosity, resilience, and a solutions-oriented mindset when navigating ambiguity and change.
Maintains confidentiality and acts with integrity and professionalism in all interactions.
Proficient in building and maintaining internal knowledge bases using tools like Confluence, or SharePoint.

Nice To Haves

Prosci Change Management certification an asset
Technical product management certification an asset
Microsoft Azure AI Fundamentals (AI-900) or Azure AI Engineer
Azure cloud services and data technology certifications an asset.

Responsibilities

Enable non-technical users across the business to safely and effectively use approved AI tools (e.g., copilots, automation platforms, low-code/no-code AI features) building trust, confidence and accountability in their usage.
Facilitate AI tooling (SLMs, LLMs, Claude, Copilot, Microsoft Foundry) for technical back-end engineering and product teams.
Develop and deliver onboarding programs for non-technical business users adopting AI tools, including workshops, self-serve guides, and one-to-one coaching, while continually refining content based on feedback and evolving needs.
Partner with managers and department heads to identify where AI can add the most value and design targeted adoption plans.
Facilitate the AI Working group, leading meetings, documenting use cases, and ensuring transparent communication and follow-through on agreed actions.
Support citizen developers in building lightweight AI-powered workflows, while collaborating effectively and bridging communication with back-end engineering resources.
Run regular enablement sessions, lunch-and-learns, and Q&A drop-ins to sustain engagement and foster a culture of continuous learning and curiosity.
Act as a first point of contact for AI-related questions from business users, taking ownership of inquiries and proactively driving them toward resolution, escalating complex technical issues to IT, Engineering, or Product teams as required.
Own the day-to-day administration of AI tool licenses and subscriptions across the organization, including role-based access, seat/license allocation, provisioning, and offboarding.
Monitor usage data to optimize license and credit spend, and make evidence-based recommendations on renewals, subscription, or tier changes.
Keep a current inventory of AI tools, regularly monitor the industry, and recommend emerging technologies and platforms.
Develop and maintain an Acceptable AI Use policy in collaboration with Compliance, and IT Security, ensuring it remains current and reflects responsible, ethical, and informed decision-making.
Act as a first point of escalation for concerns around AI outputs, data handling, or policy questions demonstrating sound judgment and ownership in resolving issues raised by end users.
Collaborate with P&C and the L&D team to embed AI literacy into broader skills development programs, while actively contributing ideas and sharing knowledge.
Work closely within IT to ensure AI tools meet security, data governance, and integration requirements before business-wide rollout.
Provide feedback to IT, Engineering, and Product teams on user experience, capability gaps, and emerging demands, communicating insights clearly and constructively.
Help shape the data strategy by tracking employee use of AI tools and shared data, supporting data governance decisions.