Area(s) of interest: Business intelligence and data Location(s): Edmonton, Montreal, Toronto A senior director AI ML Models Validation in the Model Risk Management team leads independent AI and machine learning model validation. The role strengthens the reliability, governance, and sustainability of models that influence business decisions, customer outcomes, and risk management through advanced analytics, model risk, and strategic leadership. Your role Define and oversee the enterprise strategy, operating model, and validation plan for AI and machine learning models based on risk, materiality, and inventory coverage. Lead, develop, and coach a team of model validators, setting clear expectations, supporting skills development, and ensuring consistent quality standards. Provide independent validation and challenge of AI and machine learning models before and after production use, including conceptual soundness, assumptions, data suitability, and fitness for purpose. Oversee the design and execution of validation testing, including benchmarking, replication, sensitivity and robustness analyses, performance monitoring, and outcome testing. Assess model risks related to modern AI and machine learning techniques, including stability, drift, generalization, operational resilience, explainability, and bias where applicable. Drive issue management and remediation by defining severity, agreeing on corrective actions, monitoring progress to closure, and confirming effectiveness through independent re-testing. Spearhead and champion the development of AI validation tools across the Model Validation Group. Within the Model Risk Management department, you belong to a multidisciplinary team and report to the managing director responsible for the function. The team is known for its rigorous, independent approach and its influence across data science, technology, risk, and business teams. A hybrid work environment and a flexible schedule are offered to support your work-life balance. Prerequisites Bachelor’s degree and at least six to ten years of experience in model risk, model validation, or related fields, including significant experience with AI/ML models. Demonstrated experience leading and managing teams within model validation, quantitative risk, data science governance, or an independent challenge function. Strong expertise in statistics, machine learning, and validation methodologies, including testing design, performance evaluation, and lifecycle controls. Proficiency with analytics and data environments, including Python or R and SQL, and the ability to review code, pipelines, and model outputs. In-depth knowledge of model risk management frameworks, including documentation standards, change management, auditability, issue tracking, and ongoing monitoring. Languages English (required). Understanding of French is preferred to support communication with service providers or partners. Benefits Eligible for a wide range of flexible benefits, including: Health and wellness program with multiple options Employee Share Ownership Plan Employee and family assistance program Preferential banking services Involvement in community initiatives Virtual sleep clinic #J-18808-Ljbffr