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AI Transformation Lead
- Canada
Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Full-time
- Posting language
- English
- Posted
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Archived listing. The details below describe a past opening.
Wiznry AI is building the AI brain for real-world systems.
Most organizations already have the information they need, but it is often buried in documents, scattered across tools, locked in conversations, or dependent on human memory. Wiznry AI turns fragmented operational information into intelligence that can understand context, support decisions, take action, and improve over time.
We build AI systems that sit on top of existing workflows and infrastructure, transforming information into structured, usable intelligence. Our goal is not simply to automate tasks, but to make real-world systems more intelligent - enabling them to organize information, understand what is happening, act in real time, and continuously learn.
We are applying this approach in environments where information is fragmented, decisions are frequent, and outcomes matter. Today, our work spans areas including allied healthcare and property operations, with a broader vision to build the intelligence layer that real-world systems are missing.
As an AI Transformation Lead, you will help clients successfully adopt and scale AI across their organizations. You will work at the intersection of AI, business strategy, operations, technology, governance, and people - helping clients move beyond implementing AI to transforming how their organizations work.
You will help clients assess AI readiness, identify high-value opportunities, establish practical AI governance, redesign workflows, enable their workforce, and measure the business value created by AI.
What you will do
- Work with business leaders to understand objectives, workflows, organizational capabilities, and AI opportunities.
- Assess AI readiness across strategy, processes, data, technology, governance, and workforce capabilities.
- Develop AI transformation plan aligned with business priorities and measurable outcomes.
- Identify and prioritize opportunities where AI can improve productivity, decision-making, customer experience, or operational efficiency.
- Help clients establish practical AI governance covering responsible AI, risk, human oversight, data, security, and accountability.
- Analyze how AI will change workflows, roles, responsibilities, skills, and ways of working.
- Develop workforce enablement and AI adoption strategies, including training, communications, and change management.
- Define metrics to measure adoption, productivity, operational improvements, and business value.
- Work closely with Wiznry product, AI/ML, engineering, and customer teams to translate transformation needs into scalable solutions.
- Develop reusable frameworks, playbooks, and methodologies for AI transformation and adoption.
- Act as a trusted advisor to clients, helping them understand not only what AI can do, but how their organization needs to change to realize its value.
What you bring
- Experience in AI transformation, digital transformation, management consulting, organizational transformation, or a related field.
- Strong understanding of how AI can change business processes, operating models, decision-making, and workforce capabilities.
- Experience working with senior business and technology leaders on transformation initiatives.
- Experience with organizational change, technology adoption, workforce enablement, or change management.
- Understanding of AI governance, responsible AI, risk management, data governance, and human oversight.
- Strong analytical, problem-solving, communication, and executive stakeholder management skills.
- Ability to translate complex AI concepts into practical business strategies and actions.
- Ability to work effectively across business, product, AI/ML, engineering, and customer-facing teams.
- Ability to thrive in an entrepreneurial environment where problems are often ambiguous and creating structure is part of the job.
- Experience with enterprise AI implementations, AI governance, workforce transformation, or AI Centers of Excellence is an asset.
- Bachelor’s degree in Business, Computer Science, Engineering, or a related field, or equivalent practical experience.
More about this job
Responsibilities
Advise clients on AI readiness, identify and prioritize high-value opportunities, and develop transformation plans, governance practices, and workforce adoption strategies. Define measures of business value and collaborate with product, AI/ML, engineering, and customer teams to turn client needs into scalable solutions.
Requirements
Candidates should have experience in AI or digital transformation, consulting, organizational change, or a related field, along with a strong understanding of AI’s effects on business processes, operating models, and workforce capabilities. They should be able to advise senior stakeholders, translate complex AI concepts into practical strategies, and work across business and technical teams; a bachelor’s degree or equivalent practical experience is required.
Skills
- AI Transformation
- Digital Transformation
- AI Governance
- Responsible AI
- Change Management
- Workforce Enablement
- Business Strategy
- Workflow Redesign
- AI Readiness Assessment
- Risk Management
- Data Governance
- Human Oversight
- Executive Stakeholder Management
- Organizational Transformation
- Business Value Measurement
- Cross-Functional Collaboration
Visa sponsorship
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Categories
- Management & Leadership
- Technology
- Consulting
- Software
- Data & Analytics
Keywords
- Artificial Intelligence
- AI Transformation
- Digital Transformation
- AI Readiness
- AI Governance
- Responsible AI
- Risk Management
- Data Governance
- Human Oversight
- AI Adoption
- Change Management
- Workforce Enablement
- Workflow Redesign
- Business Strategy
- Operating Models
- Organizational Transformation
- Enterprise AI Implementations
- AI Centers Of Excellence
- Product
- AI/ML
- Engineering
- Customer Experience
- Operational Efficiency
- Decision-Making
- Business Value Measurement
- Training
- Communications
- Executive Stakeholder Management