Manager, Data Science, AI Risk

Address:

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.

Key Accountabilities

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.

Independent Review Program

• 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.
• Track findings, management actions, and remediation progress through closure.

Risk Governance & Oversight

• Acts as a trusted advisor to business and technology stakeholders on AI risk monitoring and oversight practices.
• Provides effective challenge on AI risk decisions, controls, risk assessments, monitoring activities, and risk acceptance decisions.
• Supports the interpretation of emerging AI regulations, guidance, and industry best practices and assesses impacts to governance frameworks.
• Represents AI Risk Management during audits, examinations, and independent reviews.
• Supports the development and maintenance of AI risk policies, standards, procedures, and guidance.

Analytics, Reporting & Continuous Improvement

• Leads the monitoring, measurement, and reporting of AI risk program effectiveness to senior management and governance committees.
• Identifies trends, systemic issues, and emerging risks across the AI portfolio and develops recommendations for management action.
• Develops and maintains data repositories, dashboards, metrics, and reporting capabilities supporting AI oversight activities.
• Uses data analytics and risk intelligence to continuously improve monitoring and review effectiveness.
• Supports development of training materials and stakeholder education programs related to AI ongoing monitoring and independent review expectations.

Must-Have Capabilities

• 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.
• Experience establishing governance processes, standards, methodologies, and evidence requirements.
• 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.

Qualifications

• 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.
• Strong 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.
• Strong analytical, problem-solving, stakeholder management, and communication skills.
• 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

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

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, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. 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.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.