AI Enablement Business Partner

Why you’ll love working here:

• high-performance, people-focused culture

• our commitment that equity, diversity, and inclusion are fundamental to our work environment and business success, which helps employees feel valued and empowered to be their authentic selves

• learning and development initiatives, including workshops, Speaker Series events and access to LinkedIn Learning, that support employees’ career growth

• membership in HOOPP’s world class defined benefit pension plan, which can serve as an important part of your retirement security

• competitive, 100% company-paid extended health and dental benefits for permanent employees, including coverage supporting our team's diversity and mental health (e.g., gender affirmation, fertility and drug treatment, psychological support benefits of $2,500 per year, parental leave top-up, and a health spending account).

• optional post-retirement health and dental benefits subsidized at 50%

• yoga classes, meditation workshops, nutritional consultations, and wellness seminars

• the opportunity to make a difference and help take care of those who care for us, by providing a financially secure retirement for Ontario healthcare workers

 

HOOPP's information Technology teams deliver innovative technology solutions to help build a stronger financial future for the healthcare community. As an AI Enablement Business Partner, you will help shape the organization's AI roadmap, evaluate emerging AI platforms and technologies, as well as identify opportunities to create meaningful business value through AI. 

What you will do:

• Prototype and ship: Design and build working AI solutions spanning agents, MCP integrations, custom Skills, Copilot/agent extensions, and automations across commercial AI platforms, moving from idea to working proof of concept quickly while keeping governance and security in mind

• Exercise judgment, not just output: Evaluate which AI use cases are worth building and which aren't, and be willing to say no or kill something that isn't working, rather than optimizing for volume of prototypes shipped

• Partner with the business: Partner with business stakeholders and technical teams to uncover opportunities, bring clarity to ambiguous problems, and identify high-value use cases. Run discovery sessions, demo working solutions (not slideware), and rapidly test ideas to transform concepts into buildable AI solutions that deliver tangible business value

• Build institutional memory: Maintain a use-case library of proven solutions, prompts, and agent configurations so good ideas compound instead of getting rebuilt from scratch 

• Hand off cleanly: Document your technical approach well enough that engineering can harden and scale it without you in the room, this role is about multiplying the team's output, not being the only person who can maintain what you built

• Stay current and bring a point of view: Track the commercial AI landscape (new models, agentic tooling, MCP servers) and bring leadership genuine recommendations, not just news 

• Help where needed: Contribute where needed as part of a small, hands-on team, including occasional BA, engineering, or operational support work, while keeping the primary focus on AI enablement, prototyping, and scalable adoption

What you bring:

• Ability to build trusted relationships with business and technical partners at all organizational levels, facilitate productive discovery conversations, and communicate complex concepts and recommendations clearly to both technical and non-technical audiences, including executives 

• A collaborative and accountable approach to delivery, including documenting and handing off solutions effectively, sharing knowledge, incorporating feedback, and supporting sustainable adoption across teams 

• In-depth hands-on experience implementing AI/ML or generative AI solutions across commercial platforms including Microsoft Copilot ecosystem, Claude (including Claude Code and Claude Cowork), ChatGPT Enterprise, Google Gemini, or similar 

• Demonstrated ability to navigate ambiguity, uncover the underlying need, and apply curiosity, creative problem-solving, and sound judgment to turn complex business challenges into practical solutions that can be tested, refined, scaled, or stopped 

• Practical experience with modern agentic AI concepts and responsible AI practices: autonomous agents, MCP (Model Context Protocol) integrations, custom Skills or tool-use extensions, and orchestrating across multiple AI tools 

• Working technical fluency with at least one of: Power Platform (Power Automate, Power Apps, Copilot Studio), API integration with LLM providers, or scripting/light development (Python, JavaScript, or similar) 

• Strong understanding of Microsoft 365 and how Copilot, Microsoft Graph, SharePoint, and Teams support enterprise AI solutions, along with the judgment to evaluate and use technologies outside the Microsoft ecosystem when appropriate 

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience  

 

The expected annual base salary range for this role is: $103,000 - $153,000 CAD

 

The actual base salary offered to the successful candidate may vary based on multiple factors including, but not limited to, individual's expertise and level of experience applicable to the role they are being offered.  

 

This role is eligible to participate in discretionary incentive plan(s), subject to the terms and conditions of the applicable incentive plan text.  

 

This job posting is for a newly created role.

HOOPP may use artificial intelligence tools to assist in screening, assessing and selecting applicants for this position. These tools support our recruitment process but do not replace human judgment and decision-making.