Ai Strategy & Execution Lead

Toronto, ON Contract CA$110 - CA$150 / hourContractAgilus 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.
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