Application Deadline:08/20/2026Address:4100 Gordon Baker RoadJob Family Group:TechnologyThe Senior Product Manager – AI will contribute to the success of the Service, Operations, and Support (SOS) organization, a technology department within T&O’s Engineering and Platforms. The SOS organization is the face of technology to internal end-users, including system & network operations, IT Help Desk, end-user asset deployment, and IT Service Management (ITSM) governance practices. The following responsibilities apply to the Senior Product Manager – AI.Leads the strategy, implementation and ongoing management of enterprise AI capabilities. Owns the end-to-end lifecycle from use case identification, feasibility assessment, product vision and roadmap through solution design, implementation, adoption, performance monitoring and continuous improvement. Partners with business, technology, data science, machine learning engineering, architecture, cybersecurity, risk, compliance and vendor teams to deliver scalable, secure, governed and measurable AI solutions that create business value. Additional responsibilities include:Defines the vision, success measures, roadmap and delivery priorities for Gen AI systems aligned to business and technology objectives.Assesses and prioritizes Gen AI use cases based on business value, technical feasibility, data readiness, implementation complexity, risk and adoption potential.Translates business needs into requirements, epics, user stories,



acceptance criteria and implementation plans for cross-functional delivery teams.Leads solution design and implementation activities, including prompt workflows, knowledge retrieval, data pipelines, model integration, controls, testing and release readiness.Applies knowledge of large language models, machine learning, deep learning, retrieval-augmented generation, prompt engineering, model evaluation and data governance to guide delivery decisions.Ensures AI solutions meet enterprise expectations for responsible AI, privacy, security, data protection, auditability, accessibility, resilience and risk management.Drives implementation readiness, adoption, change management, communications, training and transition to operational support.Monitors post-implementation performance, including quality, accuracy, usefulness, adoption, reliability, model drift, user feedback, risk indicators and business outcomes.Builds effective relationships across business, technology, governance and vendor teams; removes blockers and communicates complex AI concepts in explicit business language.Produces regular reporting and executive updates on roadmap progress, delivery risks, adoption, value realization, system health and continuous improvement opportunities.Operates at a group or enterprise-wide level as a specialist resource to senior leaders and stakeholders.Takes measured risks while protecting the

📌 Senior Product Manager - Ai (Toronto)
🏢 Bank of Montreal
📍 Toronto