Internal Program Manager, Artificial Intelligence

Role overview

Measurement and adoption

• Develop adoption and outcome indicators, produce reports for leadership and managers, and identify improvement and sharing opportunities.
• Maintain AI platform, tool, initiative, and use-case inventories in collaboration with IT and AI Governance.
• Coordinate AI ambassadors, support teams with practices and implementation guides, and communicate policies and learning needs.
• Create guides, FAQs, presentations, demonstrations, and information sessions for users, managers, executives, and committees.

Requests and platform operations

• Operate the internal AI request process, serving as the intake point and routing, documenting, and tracking requests and decisions.
• Manage platform distribution, groups, access, usage limits, and budgets; monitor use, report anomalies, and notify stakeholders of significant vendor changes.

Incidents and compliance

• Document AI incidents and risks, route them to appropriate stakeholders, and follow cases through closure.
• Monitor compliance with approved practices, report gaps, and incorporate lessons learned into implementation guidance.

Education and experience

• Bachelor’s degree in a relevant discipline or equivalent education and experience.
• Approximately 6 to 10 years of relevant experience in technology adoption, digital-tool operations, cross-functional coordination, or a related field.
• Professional hands-on experience with generative AI tools; experience with indicators, leadership reporting, and executive presentations.

Skills and qualifications

• Understanding of AI platforms, impacts, risks, data, access, and connectors; ability to interpret usage data and communicate findings.
• Strong coordination, organizational, judgment, collaboration, and communication skills; able to explain technical topics to varied audiences.
• Proficiency with presentation and document-production tools such as PowerPoint and Word.
• French and English proficiency is required for oral and written communication and documentation.
• Data visualization, SaaS or AI tool administration, communities of practice, and cross-functional AI use-case knowledge are assets.

Benefits

• Benefits include group insurance, employer-contributed group RRSP, telemedicine, employee and family assistance, and at least three weeks of vacation.
• The company describes a collaborative workplace, training time, skills development resources, and technology projects supporting healthcare organizations.