What's the opportunity?You will deliver innovative Agentic AI capabilities across Credit & Fraud Management(CFM). You will combine strong strategy, business and product expertise to shape AI solutions, including Large Language Models(LLM)-based and Agentic AI solutions. You will ensure the Data Science & AI (DSA) team's strengths and efforts are consistently directed toward the highest-impact problems, integrate seamlessly into end-user workflows and create measurable business value. You will collaborate with stakeholders across diverse disciplines (DSA, IT, Fraud Operations, and Strategy), partner with business leaders to identify the right problems to solve with Agentic AI, work with the DSA team to translate problems into well-scoped solutions and stay close to end-users to ensure solutions have high adoption.Job DescriptionYou will deliver innovative Agentic AI capabilities across Credit & Fraud Management(CFM). You will combine strong strategy, business and product expertise to shape AI solutions, including Large Language Models(LLM)-based and Agentic AI solutions. You will ensure the Data Science & AI (DSA) team's strengths and efforts are consistently directed toward the highest-impact problems, integrate seamlessly into end-user workflows and create measurable business value. You will collaborate with stakeholders across diverse disciplines (DSA, IT, Fraud Operations, and Strategy), partner with business leaders to identify the right problems to solve with Agentic AI,



work with the DSA team to translate problems into well-scoped solutions and stay close to end-users to ensure solutions have high adoption.What will you do?Develop and communicate a transparent strategy and roadmap for the team’s Agentic AI portfolio, aligned with broader CFM priorities, and assess business cases and expected ROI of potential Agentic AI solutionsAct as the business owner for the team’s portfolio, liaising with stakeholders across the development lifecycle to ensure alignment, momentum, and business value capture, and develop a deep understanding of end-user workflows, ensuring solutions integrate into those workflows seamlesslyBuild a working understanding of the business’ technology stack, and guide DSA and IT on which platforms, systems, and data sources our solutions should integrate with, and howHelp DSA translate business requirements into a clear development plan and define business and technical success metrics for each solution, and put in place the measurement mechanisms needed to track performance against them through and beyond deploymentLead by example, championing a test-and-learn approach to Agentic AI product development, promoting experimentation, structured pilots and the use of evidence to drive decisions about scaling, iterating, or sunsetting solutionsPerform Hands-on agentic development work, modeling best practices in system design, prompt engineering, evaluation frameworks, and solution architecture for the teamContribute directly to critical path development efforts, take ownership of key technical components, demonstrate excellence in agentic AI implementation and mentor the agentic development team through collaborative code reviews, technical pairing and knowledge

📌 Director, Fraud Agentic Ai (Toronto)
🏢 Anonymous
📍 Toronto