AI Workflow Transformation Lead
AlayaCare - Montréal, Quebec, Canada
Posted Jun 12, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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Role
- Seniority
- Senior From the posting source
Schedule
- Shift type
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- Weekend work
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Company
- Equity
- Offered From the posting source
Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
AI Workflow Transformation Lead Montréal, Quebec, Canada About AlayaCare At AlayaCare, we're more than just a fast-growing SaaS company, we're a team of people passionate about transforming home healthcare. Our cloud-based platform empowers care providers around the world to deliver better outcomes for their clients. With 550+ employees across Canada, the US, Australia, and Brazil, we're united by a shared mission and a strong culture of transparency, growth, and human connection. Whether you're early in your career or a seasoned expert, AlayaCare offers the opportunity to grow your impact, your skills, and your career. About the Role We are seeking a AI Workflow Transformation Lead to join our team. The AI Workflow Transformation Lead partners directly with the CEO and executive team to map critical workflows end-to-end and reimagine them for the AI era. This role owns a portfolio of high-impact transformation initiatives, leveraging tools like Claude, Glean, and internal AI capabilities to redesign how work gets done across the company. Leads a small, high-caliber team of AI Automation Specialists and acts as the connective tissue between strategy, operations, and technology. What You'll Do Map current workflows across key business areas (e.g., Sales, Customer Success, Implementations, Support, Product, Finance, People). Quantify baseline performance (cycle times, FTE effort, handoffs, error rates, customer experience impact). Redesign workflows that are AI-first, leveraging agents, automation, and integrations rather than simply digitizing existing processes. Build clear, visual process documentation and playbooks that can be adopted by teams. Identify, prioritize, and maintain a portfolio/backlog of AI
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