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Senior AI Strategy Consultant
CanadaHelps
Toronto, CAN
Contract
Senior
Today
AI StrategyDigital TransformationProject ManagementVendor ManagementBusiness Case DevelopmentChange Management
Free
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AI StrategyDigital TransformationProject Management
About the Role
CanadaHelps seeks a Senior AI Strategy Consultant for a 1-year contract to design and oversee the organization's AI roadmap. The role focuses on maximizing mission and operational effectiveness through responsible AI adoption, ensuring compliance with Canadian privacy laws.
Key Skills for This Role
AI StrategyDigital TransformationProject ManagementVendor ManagementBusiness Case DevelopmentChange Management
Responsibilities
- Define and prioritize a 12–36 month AI adoption roadmap focused on high impact, low friction opportunities
- Rapidly prototype and pilot AI solutions to validate value and assess feasibility
- Build business cases and establish KPIs; track outcomes and iterate
- Translate technical concepts into clear business language for executives and frontline teams
- Operationalize Responsible AI principles and ensure compliance with Canadian privacy laws
- Evaluate third party AI tools and manage vendor assessments and proof of concept engagements
Requirements
- 8+ years in management consulting, digital transformation, program delivery, or enterprise change roles with proven experience leading AI driven organizational change
- Hands on track record selecting and implementing commercial AI tools (marketing automation AI, RAG/LLM platforms, agentic/workflow solutions)
- Strong project and vendor management skills
- Strong business acumen; experience quantifying ROI and building business cases
- Solid conceptual understanding of LLMs, retrieval augmented workflows, and agentic tools
- Excellent communication and change management skills
Full Job Posting
About the Role
- We are looking for a Senior AI Strategy Consultant (1 Year Contract) to design and oversee the organization’s AI roadmap to maximize mission and operational effectiveness.
- The ideal candidate will have a strong understanding of how AI integrates within a complex technical ecosystem while maintaining rigorous security and governance standards.
- You’ll be the pragmatic bridge between AI capability and real organizational impact.
Responsibilities
- Define and prioritize a 12–36 month AI adoption roadmap focused on high impact, low friction opportunities across marketing, operations, fundraising, and client services.
- Rapidly prototype and pilot AI solutions to validate value, assess feasibility and reduce scaling risk.
- Collaborate with IT and Data teams to ensure proposed AI solutions are compatible with existing data infrastructure, security standards, and cloud environments.
- Facilitate opportunity discovery workshops with business units to surface unmet needs and use case backlog.
- Prioritize AI use cases using a standardized scoring framework.
- Build business cases and establish KPIs; track outcomes and iterate.
- Translate technical concepts into clear business language for executives and frontline teams.
- Coach leaders on AI opportunity prioritization, procurement trade offs, and sustained adoption.
- Produce playbooks, FAQs, and role based training materials.
- Operationalize Responsible AI principles: ensure vendor solutions comply with privacy and copyright laws.
- Establish practical controls, data handling standards, and monitoring for third party AI usage.
- Evaluate third party AI tools and manage vendor assessments, commercial negotiations, and proof of concept engagements.
Required Skills and Experience
- 8+ years in management consulting, digital transformation, program delivery, or enterprise change roles with proven experience leading AI driven organizational change.
- Hands on track record selecting and implementing commercial AI tools (marketing automation AI, RAG/LLM platforms, agentic/workflow solutions).
- Strong project and vendor management skills; familiar with common PM tools and delivery frameworks.
- Strong Business acumen; experience quantifying ROI and building business cases.
- Solid conceptual understanding of LLMs, retrieval augmented workflows, and agentic tools.
- Excellent communication and change management skills; able to de jargonize AI for non technical stakeholders.
Nice to Have
- MBA or master’s in a quantitative field.
- Familiarity with Canadian regulatory landscape.
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