22 Oct
|
Lgi-Healthcare-Solutions-Sant
|
Montreal
22 Oct
Lgi-Healthcare-Solutions-Sant
Montreal
Internal Program Manager, Artificial Intelligence
- Full-time
For over 40 years, LGI Healthcare Solutions has built software that healthcare organizations depend on. AI is now at the heart of that work — not as a destination, but as the engine behind our next generation of mission-critical solutions and our enduring mission: helping healthcare organizations perform at their best.
We'relooking for exceptionalpeoplewho are passionate about technology, relentless in their standards, and driven to pushwhat'spossiblefurther. At LGI, curiosityisn'ta nice-to-have,it'show we work.
We'relooking fortalentwho explore and innovate by instinct and want their work to matter beyond the codebase: shaping decisions, enhancing processes, and enabling healthcare practitioners.
Internal Program Manager, Artificial Intelligence
The Internal Program Manager, Artificial Intelligence coordinates the adoption and day-to-day operations of AI platforms and tools used internally (e.g., Claude, ChatGPT, GitHub Copilot, and M365 Copilot). The role measures adoption and makes the value created visible; supports teams with initiatives and the implementation of approved practices; tracks requests; serves as the single point of entry for internal AI requests; and manages the platform usage model, including groups, distribution, usage limits, and budgets. The incumbent connects teams, ambassadors, and decision-making bodies to promote the effective and responsible use of AI.
Responsibilities
Measurement, initiative tracking and reporting:
- Develop and maintain indicators that provide insight into adoption, outcomes, and opportunities for improvement, beyond consumption volumes.
- Produce reports and aggregated views by business area for leadership, and provide managers with tools to monitor and support their teams.
- Maintain existing directories and drive the development of the internal AI practices and use-case directory; track significant initiatives and their contribution within each business area based on established thresholds.
- Highlight commonalities and opportunities for sharing across business areas.
- Maintain the inventory of internal AI platforms, tools, and use cases (business area, business owner, and risk level assigned by AI governance), in collaboration with IT and AI Governance.
- Report to AI Leadership and AI Governance on the application of approved practices, observed gaps, and usage trends.
Adoption and Enablement
- Build and maintain regular relationships with the various areas of the organization to understand AI uses, needs, and pain points.
- Ensure operational coordination of the AI Ambassadors Committee, follow up on its initiatives, and facilitate the flow of information.
- Recommend practices and implementation guides; support teams in improving how they use AI.
- Foster a regular cadence of internal AI communications, coordinate communications with ambassadors who contribute to the content, and maintain targeted monitoring of AI tools and practices.
- Escalate situations involving risk or requiring arbitration to the appropriate stakeholders.
- Communicate new policies, standards, and approved practices through AI ambassadors and managers, and ensure they are understood.
- Gather feedback from users and ambassadors on policies, practices, and learning resources, and bring it forward to AI Governance and Learning Leadership.
- Identify AI literacy needs by role, for both effective and responsible use, and communicate them to Learning Leadership.
Communication and Presentations
- Explain AI concepts, issues, and developments in clear, accessible language for users across all business areas through guides, FAQs, learning capsules, and demonstrations.
- Design and produce presentations, documents, and other communication materials for users, managers, and leadership.
- Present adoption status, results, and recommendations to executives and committees, adapting the message and level of detail to the audience.
- Facilitate information sessions, demonstrations, and practice-sharing sessions for teams and AI ambassadors.
Recent request-management process
- Implement and operate the new AI request-management process.
- Serve as the single point of entry for all internal AI requests; route them to the appropriate bodies, including the AI Lab when experimentation is required; and track their progress.
- Maintain request documentation and decision logs, and follow up with requestors after decisions are made.
- Apply established intake criteria, including business owner, intended use, and data involved, to ensure requests are complete before they are routed.
- Route requests in accordance w
📌 Internal Program Manager, Artificial Intelligence (Montreal)
🏢 Lgi-Healthcare-Solutions-Sant
📍 Montreal