Manager, Model and AI Governance

Creates and implements an integrated roadmap for all aspects of model and AI Governance. Develops, maintains and monitors governance policies and procedures. Deploys technologies, ensures compliance with standards, and provides updates on policy changes. Provides interpretation of enterprise governance guidelines. Ensures governance strategy and management practices are aligned in support of business objectives. Creates a culture where model is managed as a valuable corporate asset, adheres to the regulations around compliance, and reduces overall risk. 

• Drives model & AI governance by actively promoting improved governance practices, enforcing policy, and following best data governance practices. 

• Works with business/vendors for validation. 

• Manages model and AI inventory and validation intake process. 

• Enhances and manages Power BI dashboard for model performance monitoring. 

• Establishes, maintains, periodically reviews and recommends changes to governance policies, standards, guidelines, and procedures. 

• Conducts audits to ensure that policies, procedures and metrics are in place for maintaining/improving the program. 

• Aligns the governance policies with the overall goals of the business strategy. 

• Drives change in the organization to maximize the value of its models and plans for how the company will make those changes. 

• Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do. 

• Ensures alignment between values and behaviour that fosters diversity and inclusion. 

• Regularly connects work to BMO’s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through. 

• Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus. 

• Provides specialized consulting, analytical and technical support. 

• Exercises judgment to identify, diagnose, and solve problems within given rules. 

• Works independently and regularly handles non-routine situations. 

• Broader work or accountabilities may be assigned as needed. 

Qualifications: 

• Typically 5+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience. 

• Strong understanding of machine learning and Gen AI methodologies. 

• Proficient knowledge of model development, governance and productionalization process. 

• Strong Power BI and SQL skills for maintaining model performance dashboard. 

• Proficient level knowledge in model risk management. 

• Proficient in change management 

• Strong knowledge of business operations & procedures, and activities involving documented practices. 

• Proficient in communication, critical thinking, relationship management and project management skills 

• Technical proficiency gained through education and/or business experience 

• Verbal & written communication skills - In-depth 

• Collaboration & team skills - In-depth 

• Analytical and problem solving skills - In-depth 

• Influence skills - In-depth 

• Data driven decision making - In-depth