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LGI Healthcare Solutions

Software solutions powering healthcare facility operations

Internal Program Manager - Artificial Intelligence

Program ManagementConfirmed live in the last 24 hours
Full-timeMontreal, QC, CanadaNo salary listedHybrid

About the Job

Requirements

  • A bachelor's degree in a relevant discipline, such as information technology, business administration, communications, or data science, or an equivalent combination of education and experience.
  • Approximately 6 to 10 years of relevant experience in technology adoption, digital-tool operations, cross-functional coordination, or a related field.
  • Hands-on experience with generative AI platforms and tools in a professional environment, such as Claude, ChatGPT, GitHub Copilot, and M365 Copilot.
  • Experience defining and monitoring indicators and producing reports for leadership and managers.
  • Experience presenting and communicating to senior executives and leadership committees.
  • A functional understanding of AI platforms, their impacts, risks, and the changes they introduce, particularly with respect to data, access, and connectors.
  • Data and metrics analysis skills, including interpreting usage data with nuance and connecting observations to intended outcomes.
  • Ability to coordinate requests and initiatives involving multiple stakeholders without formal authority.
  • Ability to support users and teams in improving how they use AI.
  • Ability to collaborate with IT, Security, Learning, Governance, Program Management, and leaders across business areas.
  • Ability to explain complex technical concepts in clear, accessible terms for varied audiences.
  • Proficiency with presentation and document-production tools, such as PowerPoint and Word, and ability to create professional-quality presentations and documents.
  • Ability to communicate and work with documentation in both French and English, orally and in writing, with French- and English-speaking partners, clients, vendors, and colleagues.

Responsibilities

  • Develop and maintain indicators that provide insight into AI 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 develop the internal AI practices and use-case directory; track significant initiatives and their contributions 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, including business area, business owner, and AI-governance-assigned risk level, in collaboration with IT and AI Governance.
  • Report to AI Leadership and AI Governance on application of approved practices, observed gaps, and usage trends.
  • Build and maintain relationships with organizational areas to understand AI uses, needs, and pain points.
  • Coordinate the AI Ambassadors Committee, follow up on its initiatives, and facilitate information flow.
  • Recommend practices and implementation guides, and support teams in improving how they use AI.
  • Coordinate regular internal AI communications, work with contributing ambassadors on content, and monitor AI tools and practices.
  • Escalate situations involving risk or requiring arbitration to appropriate stakeholders.
  • Communicate new policies, standards, and approved practices through AI ambassadors and managers, and ensure they are understood.
  • Gather user and ambassador feedback on policies, practices, and learning resources, and bring it to AI Governance and Learning Leadership.
  • Identify AI literacy needs by role for effective and responsible use, and communicate them to Learning Leadership.
  • Explain AI concepts, issues, and developments in accessible language 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 detail to the audience.
  • Facilitate information sessions, demonstrations, and practice-sharing sessions for teams and AI ambassadors.
  • Implement and operate the new AI request-management process.
  • Serve as the single point of entry for internal AI requests, route them to appropriate bodies including the AI Lab when experimentation is required, and track 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 routing.
  • Route requests according to established escalation paths and decision rights based on risk level and request type.
  • Define and maintain distribution models, groups, usage limits, and usage budgets for approved internal AI platforms, and monitor their use.
  • Make authorized routine adjustments and recommend changes requiring a decision or specialized intervention.
  • Collaborate with IT, Security, AI Governance, and AI Leadership on groups, feature access, usage limits, and usage budgets.
  • Identify usage anomalies, including unusual volumes or unexpected access or group assignments, and report them to IT and Security.
  • Notify appropriate bodies about significant vendor platform changes, including models, features, or terms, that may require review.
  • Contribute usage and adoption data to periodic review and potential retirement of platforms and features.
  • Receive and document reports of incidents or risk situations related to AI use; route them to appropriate stakeholders, including Security, AI Governance, Legal, or Human Resources, and follow cases through to closure.
  • Monitor compliance with usage policies and approved practices, and report gaps to AI Governance.
  • Document lessons learned from incidents and gaps, and incorporate them into implementation guides.

Desired Qualifications

  • Experience with data visualization and dashboard development.
  • Experience with the functional administration of SaaS or AI tools.
  • Experience facilitating or coordinating a community of practice.
  • Knowledge of AI use cases across multiple business functions.

About the Company

LGI Healthcare Solutions

Software solutions powering healthcare facility operations

LGI Healthcare Solutions provides software that supports the essential operations and infrastructure of healthcare facilities. Its tools help hospitals and clinics manage daily tasks and critical systems to ensure reliable care delivery. With 40+ years rooted in Canada and international reach in the United States, United Kingdom, France, and Australia, it brings deep, facility-focused experience. The goal is to help healthcare facilities operate safely and efficiently by delivering dependable software for daily operations and infrastructure.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Montreal, Canada
Founded
1982

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