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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 listedIn-person

About the Job

Requirements

  • A bachelor's degree in a relevant discipline such as information technology, 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.
  • Practical experience with generative AI platforms and tools in a professional context, such as Claude, ChatGPT, GitHub Copilot, or M365 Copilot.
  • Experience defining and tracking metrics and producing reports for executives and managers.
  • Experience presenting and communicating to senior executives and management committees.
  • Functional understanding of AI platforms, their impacts and risks, and changes they bring, especially involving data, access, and connectors.
  • Ability to interpret usage data and metrics with nuance and connect observations to intended outcomes.
  • Experience coordinating requests and matters with multiple stakeholders without formal authority.
  • Ability to support users and teams in improving their AI usage.
  • Ability to collaborate with IT, security, training, governance, program management, and business-sector leads.
  • Ability to explain complex technical concepts clearly and accessibly to 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 present concise, decision-oriented information to executives and committees.
  • Fluency in French and English, including reading documentation and communicating orally and in writing with French- and English-speaking partners, clients, suppliers, and colleagues.

Responsibilities

  • Develop and maintain metrics that illuminate adoption, outcomes, and improvement opportunities beyond usage volumes.
  • Produce reports and aggregated sector-level views for leadership, and provide managers with ways to monitor and support their teams.
  • Maintain existing directories and advance the internal AI practices and use-case directory; track significant initiatives and their contributions within each sector according to established thresholds.
  • Identify commonalities and opportunities for sharing across sectors.
  • Maintain an inventory of internal AI platforms, tools, and use cases, including sector, business owner, and AI-governance-assigned risk level, in collaboration with IT and AI governance.
  • Report to AI leadership and AI governance on the application of approved practices, observed deviations, and usage trends.
  • Maintain regular relationships with business areas to understand usage, needs, and pain points.
  • Coordinate the operations of the AI ambassador committee, track its matters, and facilitate information flow.
  • Propose practices and implementation guides, and support teams in improving their usage.
  • Promote a cadence of internal AI communications, coordinate communications with ambassadors who contribute content, and monitor selected AI tools and practices.
  • Escalate situations involving risk or requiring arbitration to the appropriate owners.
  • Communicate new approved AI policies, standards, and practices through AI ambassadors and managers, and ensure they are understood.
  • Collect feedback from users and ambassadors on policies, practices, and training resources, and relay it to AI governance and the Training Directorate.
  • Identify AI literacy needs by role, for effective and responsible use, and communicate them to the Training Directorate.
  • Explain AI concepts, issues, and developments in accessible terms through guides, frequently asked questions, short content, and demonstrations.
  • Design and produce presentations, documents, and other communications for users, managers, and leadership.
  • Present adoption status, outcomes, and recommendations to leaders 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.
  • Implement and operate the new AI request-management process.
  • Serve as the single point of entry for internal AI requests, route them to relevant bodies, including the AI Lab when experimentation is required, and track their progress.
  • Maintain request documentation and decision registers, and follow up with requesters after decisions.
  • Apply established intake criteria, including business owner, intended use, and affected data, 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, group, usage-limit, and usage-budget logic for approved internal AI platforms, and track usage.
  • 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 budgets.
  • Identify usage anomalies, such as unusual volumes or unexpected access or groups, and report them to IT and security.
  • Report significant vendor changes to platforms, including models, features, and terms, that may require review.
  • Contribute usage and adoption data to periodic reviews and possible retirement of platforms and features.
  • Receive and document reports of incidents or risks related to AI use, route them to the appropriate owners, such as security, AI governance, legal, or human resources, and track cases through closure.
  • Monitor application of usage policies and approved practices, and report deviations to AI governance.
  • Record lessons learned from incidents and deviations and incorporate them into implementation guides.

Desired Qualifications

  • Experience with data visualization and dashboard production.
  • Experience with 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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