Program Manager – AI Transformation (Financial Crimes, Cybersecurity & Enterprise Risk)

Role: Program Manager – AI Transformation (Financial Crimes, Cybersecurity & Enterprise Risk)Location: Toronto

Role OverviewWe are seeking an experienced Senior Program Manager to lead strategic Artificial Intelligence (AI), Machine Learning (ML), and Generative AI initiatives across Financial Crimes, Cybersecurity, Data Protection, and Enterprise Risk functions.The successful candidate will manage a portfolio of AI-enabled programs supporting Anti-Money Laundering (AML), Fraud Detection, Vulnerability Response, Threat Protection, Data Loss Prevention (DLP), Insider Risk, Security Operations, and Regulatory Compliance. This role will serve as the primary liaison between business stakeholders, technology teams, data scientists, cybersecurity teams, and executive leadership.
Key ResponsibilitiesAI Program LeadershipLead end-to-end delivery of AI and advanced analytics initiatives across multiple risk domains.Develop and manage program roadmaps, budgets, resource plans, timelines, and dependencies.Establish governance frameworks for AI implementation and adoption.Drive prioritization and execution of strategic AI investments.
Cybersecurity & Threat ProtectionManage AI initiatives supporting:Threat Detection and ResponseSecurity Operations Center (SOC) modernizationSecurity AnalyticsVulnerability Management and ResponseThreat IntelligenceInsider Threat MonitoringAttack Surface ManagementCoordinate with Cybersecurity, Infrastructure, and Security Engineering teams.Data Protection & PrivacyLead programs focused on:Data Loss Prevention(DLP)Sensitive Data Discovery and ClassificationInformation ProtectionData GovernancePrivacy Risk MonitoringAI Governance and Responsible AI ControlsEnsure compliance with enterprise data protection standards and regulatory requirements.Stakeholder & Executive ManagementBuild strong relationships with senior leaders across Compliance, Cybersecurity, Risk Management, Technology, Data & Analytics, and Operations.Prepare executive-level reporting and steering committee materials.Communicate program progress, risks, issues, and mitigation strategies.AI Governance & Risk ManagementEnsure AI solutions comply with model risk management frameworks and regulatory expectations.Coordinate model validation, explainability, monitoring, and audit readiness activities.Establish KPIs, success metrics, and performance monitoring processes.Change Management & AdoptionLead organizational change management activities.Develop communication, training, and adoption plans.Drive business readiness and benefits realization.Required QualificationsBachelor's degree in Business, Technology, Computer Science, Engineering, Cybersecurity, Data Science, Finance, or related field.8+ years of Program or Project Management experience.5+ years leading enterprise technology, data, AI, cybersecurity, or risk transformation programs.Experience managing large-scale, cross-functional initiatives with executive-level visibility.Strong knowledge of Agile, Waterfall, and Hybrid delivery methodologies.Preferred QualificationsExperience within Banking, Financial Services, Insurance, FinTech, or highly regulated industries.Knowledge of:AML and Financial Crimes ComplianceCybersecurity OperationsVulnerability ManagementThreat ProtectionData Loss Prevention(DLP)Data Governance and PrivacyGenerative AI and Machine Learning technologiesPMP, PgMP, Agile, Scrum, SAFe, or equivalent certifications.MBA or Master's degree in Technology, Data Science, Cybersecurity, or Business Administration.Key CompetenciesAI Program DeliveryExecutive Stakeholder ManagementFinancial Crimes & AML KnowledgeCybersecurity & Data Protection AwarenessRisk & Compliance ManagementStrategic PlanningVendor ManagementChange LeadershipBudget & Resource ManagementStrong Communication & Influencing SkillsSuccess MeasuresSuccessful delivery of AI initiatives within scope, budget, and scheduleImproved fraud, AML, and cyber threat detection effectivenessReduction in security vulnerabilities and responsetimesEnhanced DLP and data protection controlsIncreased operational efficiency through AI automationRegulatory and audit complianceStrong stakeholder satisfaction and business adoption