Partner with product and clinical teams to understand and solve real workflow challenges.
Drive architectural decisions for business platform services.
Own the reliability and performance of critical healthcare solutions.
Mentor team members on modern engineering practices.
Lead the design and rollout of an externalized authorization platform spanning RBAC, ABAC, and ReBAC models, choosing the right model for each domain (clinical data, administrative actions, cross-tenant sharing, etc.).
Define our PDP / PEP / PIP / PAP architecture, including policy authoring, distribution, caching, and decision logging for audit.
Extend our current homegrown authorization solution and, where it makes sense, augment it with reputable OSS frameworks as pragmatic evolution over rip-and-replace.
Partner with security, compliance, and product to translate HIPAA, consent, and least privilege requirements into enforceable policy
Establish patterns for extending authorization to AI agents and automated actors (scoped credentials, delegated authority, human-in-the-loop approvals)
Strong track record building and shipping production software in modern languages (Java, Python, or similar).
Deep understanding of cloud-native architecture and distributed systems design patterns.
Expertise in design, optimization, and scaling for relational (SQL) database systems, bonus points for NoSQL database systems.
Experience designing and implementing RESTful APIs and microservices.
Proficiency with test-driven development, automated testing, and maintaining high code quality.
Hands-on experience with modern frontend frameworks, primarily React.
Working knowledge of CI/CD pipelines and infrastructure-as-code practices.
Experience with production observability, monitoring, and performance optimization tools.
Deep working knowledge of authorization models — RBAC, ABAC, and ReBAC and clear judgment on where each fits.
Hands-on experience designing PDP / PEP / PIP / PAP separations, including policy decision caching, and failure-mode design (fail-open vs. fail-closed, with explicit reasoning for each surface).
Practical experience with one or more OSS authorization frameworks in production.
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SVP, Product Management – Data Products & Strategy
Mississauga, CAN
ExecutiveFull-time
Job Title: SVP, Product Management – Data Products & Strategy Location: Canada – Remote or Mississauga, ON – Hybrid Travel to Office expectations\* For Remote Roles : If this role is remote, there will be in-office even
Awareness of how authorization is evolving for AI agents and autonomous systems — comfortable reasoning about non-human principals, delegated authority, ephemeral identity, and the limits of current standards in agentic contexts.
C omfortable using AI-augmented development tools (e.g., GitHub Copilot, Claude Code) as part of your workflow.
Experience applying AI tools throughout the development lifecycle from requirements analysis, documentation to incident response.
Strong code review skills demonstrated through giving and receiving constructive feedback.
Experience with Git workflows and collaborative development practices.
Ability to balance feature delivery with system reliability and technical excellence.
Comfortable with on-call responsibilities and incident response.
Experience building and scaling SaaS platforms.
Track record of mentoring engineers or leading technical initiatives.
Background with Spring Boot and Java ecosystem.
Experience with Azure cloud services and Kubernetes (AKS).
Experience in healthcare technology or regulated industries.
Understanding of HIPAA compliance and handling sensitive data
Partner with product and clinical teams to understand and solve real workflow challenges.
Drive architectural decisions for business platform services.
Own the reliability and performance of critical healthcare solutions.
Mentor team members on modern engineering practices.
Lead the design and rollout of an externalized authorization platform spanning RBAC, ABAC, and ReBAC models, choosing the right model for each domain (clinical data, administrative actions, cross-tenant sharing, etc.).
Define our PDP / PEP / PIP / PAP architecture, including policy authoring, distribution, caching, and decision logging for audit.
Extend our current homegrown authorization solution and, where it makes sense, augment it with reputable OSS frameworks as pragmatic evolution over rip-and-replace.
Partner with security, compliance, and product to translate HIPAA, consent, and least privilege requirements into enforceable policy
Establish patterns for extending authorization to AI agents and automated actors (scoped credentials, delegated authority, human-in-the-loop approvals)
Strong track record building and shipping production software in modern languages (Java, Python, or similar).
Deep understanding of cloud-native architecture and distributed systems design patterns.
Expertise in design, optimization, and scaling for relational (SQL) database systems, bonus points for NoSQL database systems.
Experience designing and implementing RESTful APIs and microservices.
Proficiency with test-driven development, automated testing, and maintaining high code quality.
Hands-on experience with modern frontend frameworks, primarily React.
Working knowledge of CI/CD pipelines and infrastructure-as-code practices.
Experience with production observability, monitoring, and performance optimization tools.
Deep working knowledge of authorization models — RBAC, ABAC, and ReBAC and clear judgment on where each fits.
Hands-on experience designing PDP / PEP / PIP / PAP separations, including policy decision caching, and failure-mode design (fail-open vs. fail-closed, with explicit reasoning for each surface).
Practical experience with one or more OSS authorization frameworks in production.
Strong grasp of AuthN ↔ AuthZ boundaries
Experience authoring policy-as-code.
Awareness of how authorization is evolving for AI agents and autonomous systems — comfortable reasoning about non-human principals, delegated authority, ephemeral identity, and the limits of current standards in agentic contexts.
C omfortable using AI-augmented development tools (e.g., GitHub Copilot, Claude Code) as part of your workflow.
Experience applying AI tools throughout the development lifecycle from requirements analysis, documentation to incident response.
Strong code review skills demonstrated through giving and receiving constructive feedback.
Experience with Git workflows and collaborative development practices.
Ability to balance feature delivery with system reliability and technical excellence.
Comfortable with on-call responsibilities and incident response.
Experience building and scaling SaaS platforms.
Track record of mentoring engineers or leading technical initiatives.
Background with Spring Boot and Java ecosystem.
Experience with Azure cloud services and Kubernetes (AKS).
Experience in healthcare technology or regulated industries.
Understanding of HIPAA compliance and handling sensitive data
About PointClickCare
Software & SaaS2715 employeesFounded 2000
Private Canadian healthcare software company providing EHR, care-coordination, revenue-cycle, and workflow tools to post-acute and senior-care providers.