Apply for Manager, Data Science, AI Risk at BMO Financial Group in Toronto, ON, CA. This Full time on site position offers great opportunities for career growth. Audit, Risk & Compliance Build, operationalize, and continuously enhance the second-line AI Ongoing Monitoring and Independent Review program.

The role is responsible for establishing sustainable oversight of AI performance, model and agent behavior, drift, emerging risk indicators, control effectiveness, and independent review activities across the AI lifecycle. The position supports remediation of audit findings, strengthens AI risk governance, and ensures alignment with evolving regulatory expectations.

AI Ongoing Monitoring Program Design, implement, and maintain the 2LOD AI ongoing monitoring framework, methodology, standards, and reporting processes.

Establish key risk indicators (KRIs), key performance indicators (KPIs), thresholds, triggers, and escalation protocols for AI risk oversight.

Monitor AI solutions for performance degradation, drift, emerging risks, control effectiveness, and adherence to approved risk treatment plans.

Develop portfolio-level monitoring dashboards and reporting to provide transparency into AI risk exposures, trends, and emerging concerns.

Analyze monitoring results and provide independent challenge, recommendations, and escalation where required.

Lead the development, standardization, and execution of independent review activities across AI use cases, and agentic AI solutions.

Develop review procedures, evidence standards, and quality assurance requirements for independent reviews.

Conduct independent assessments of AI governance, controls, monitoring activities, and compliance with applicable policies and standards.

Identify control weaknesses, process gaps, and emerging risks, and recommend corrective actions.

Risk Governance & Oversight Act as a trusted advisor to business and technology stakeholders on AI risk monitoring and oversight practices.

Provide effective challenge on AI risk decisions, controls, risk assessments,



monitoring activities, and risk acceptance decisions.

Support the interpretation of emerging AI regulations, guidance, and industry best practices and assess impacts to governance frameworks.

Represent AI Risk Management during audits, examinations, and independent reviews.

Support the development and maintenance of AI risk policies, standards, procedures, and guidance.

Analytics, Reporting & Continuous Improvement Lead the monitoring, measurement, and reporting of AI risk program effectiveness to senior management and governance committees.

Identify trends, systemic issues, and emerging risks across the AI portfolio and develop recommendations for management action.

Develop and maintain data repositories, dashboards, metrics, and reporting capabilities supporting AI oversight activities.

Use data analytics and risk intelligence to continuously improve monitoring and review effectiveness.

Support development of training materials and stakeholder education programs related to AI ongoing monitoring and independent review expectations.

Experience designing and operationalizing ongoing monitoring frameworks.

Experience developing and executing independent review, testing, validation, audit, or quality assurance programs.

Strong risk analytics and reporting capabilities, including dashboard and metric development.

Ability to identify emerging risk indicators, control weaknesses, and systemic risk themes.

Strong written and verbal communication skills, including executive and regulatory reporting.

Demonstrated ability to provide effective challenge and influence senior stakeholders.





Experience supporting regulatory examinations, audits, issue remediation, and closure validation.

5-7+ years of experience in AI Risk, Model Risk, Technology Risk, Data Science Governance, Internal Audit, Validation, Independent Testing, or related fields.

Degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, Information Technology, Business, or a related discipline.

Solid understanding of AI/ML lifecycle risks, monitoring techniques, model performance management, and emerging agentic AI risks.

Knowledge of AI governance frameworks and regulatory expectations (e.g., OSFI, OCC, Federal Reserve, NIST AI RMF, EU AI Act, SR 11-7 principles).

Experience developing risk metrics, dashboards, monitoring automation, and portfolio reporting.

Experience with data visualization and analytics platforms (e.g., Power BI, SQL, Python) preferred.

Audit, risk management, model validation, or governance-related certifications are considered an asset.

Salaries for part‑time roles will be pro‑rated based on number of hours regularly worked. BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance‑based incentives, discretionary bonuses, as well as other perks and rewards.

BMO also offers health insurance.

Accident and life insurance.

Retirement savings plans.

It calls on us to create lasting, positive change for our customers, our communities and our people. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in‑depth training and coaching, to manager support and network‑building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

Accommodations are available on request for candidates taking part in all aspects of the selection process.

Diversity & Inclusion

📌 Manager, Data Science, AI Risk at BMO Financial Group (Toronto)
🏢 BMO Financial Group
📍 Toronto