AI Strategy & Execution Lead

Skillhub Solutions Inc.; Toronto; Hybrid; CAD 152,000 - 207,000; Full time

Job summary

Agilus by Synergie is recruiting an AI Strategy & Execution Lead for a financial services client in Toronto. This hybrid contract role will shape and accelerate AI transformation by identifying high-value opportunities, driving adoption, and ensuring investments deliver measurable outcomes.

The successful candidate will develop AI roadmaps, build executive business cases, and collaborate with Technology, Data, Analytics, and Risk to implement scalable AI solutions.

Qualifications

• 6+ years in strategy, transformation, consulting, or technology-related roles.
• 2+ years of management consulting focused on AI, technology or digital transformation.
• Proven experience leading enterprise AI adoption or business transformation initiatives.
• Understanding of AI agents, governance, and responsible AI practices.
• Experience developing executive-level business cases and presentations.
• Strong stakeholder management and influencing skills.
• Bachelor’s degree in Business, Technology, Engineering, CS, or related field.

Responsibilities

• Develop and execute the roadmap for AI adoption across the business.
• Identify, evaluate, and prioritize AI use cases with measurable value.
• Lead workflow transformation and AI-enabled ways of working.
• Build business cases and executive presentations to support AI investments.
• Partner with Technology, Data, Analytics, and Risk teams to implement AI solutions.
• Establish success measures, adoption metrics, and governance for value realization.
• Drive change management to promote AI capabilities adoption.
• Support responsible AI governance and risk controls.

Skills

AI strategy

Transformation leadership

Stakeholder management

Executive communications

AI governance

Business case development

Change management

Education

Bachelor’s degree in Business/Technology/Engineering/CS

MBA or advanced degree

Job description

Toronto, ON Contract CA$110 - CA$150 / hour

Contract

Agilus by Synergie is recruiting an AI Strategy & Execution Lead for a financial services client in Toronto, Ontario. This is a hybrid contract role.

The successful candidate will help shape and accelerate the client’s AI transformation by identifying high-value opportunities, driving adoption across business teams, and ensuring investments deliver measurable outcomes.

Responsibilities

• Develop and execute the roadmap for AI adoption across the business.
• Identify, evaluate, and prioritize AI use cases aligned with business objectives and measurable value.
• Lead workflow transformation, process redesign, and AI-enabled ways of working.
• Build business cases and executive presentations to support AI investments and strategic decisions.
• Partner with Technology, Data, Analytics, and Risk teams to implement scalable, compliant AI solutions.
• Establish success measures, adoption metrics, and governance frameworks to monitor value realization.
• Drive change management to promote awareness and adoption of AI capabilities.
• Support responsible AI practices, governance standards, and risk controls.

Requirements

• At least 6 years of relevant experience in strategy, transformation, consulting, innovation, or technology-related roles.
• At least 2 years of management consulting experience focused on AI, technology or digital transformation, or operating model design.
• Demonstrated experience leading enterprise AI adoption or business transformation initiatives.
• Understanding of AI agents and agentic AI, multi-agent systems, AI orchestration, evaluation and testing, guardrails and governance, development lifecycles, and responsible AI practices.
• Experience developing executive-level business cases, strategic recommendations, and presentations.
• Strong stakeholder management and influencing skills.
• Bachelor’s degree in Business, Technology, Engineering, Computer Science, or a related field.

Additional assets

• Experience in financial services, banking, wealth management, or another highly regulated industry.
• MBA, master’s degree, or other advanced education.
• Experience with large-scale digital, technology, or operating model transformations.
• Exposure to AI governance, privacy, compliance, and risk management frameworks.