Head – Responsible AI & Governance

Role Overview

• Develops standards for responsible and appropriate use of AI
• Establishes requirements for managing risk, transparency, and accountability
• Tracks and reports key performance indicators (KPIs) and key risk metrics (KRMs) to relevant oversight teams
• Reviews AI use cases and solutions against defined expectations in collaboration with data science teams
• Challenges decisions where risks or gaps are not adequately addressed
• Advises teams on how to meet standards and manage identified concerns
• Monitors adherence to standards and escalates issues where requirements are not met
• Updates policies and frameworks in response to regulatory or business change
• Sets evaluation strategy, frameworks, and standards
• Aligns safety practices with regulatory and business risk priorities
• Governs effectiveness of evaluation across the organization
• Influences risk thresholds for AI systems
• Drives continuous improvement in AI quality and safety practices
• Acts as the prime contact for internal/external stakeholder relationships, which may include regulators
• Operates at a group/enterprise-wide level and serves as a senior specialist resource across BMO
• Influences how teams/groups work together
• Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to multiple, interdependent, complex problems
• Communicates abstract concepts in simple terms
• Fosters strong internal and external networks and works with and across multiple teams to achieve business objectives
• Anticipates trends and responds by implementing appropriate 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
• Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders
• Attracts, retains, and enables the career development of top talent
• Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance

Requirements

• Bachelor or Master Degree in AI, Data or other relevant fields
• 10+ years of experience in AI Governance, Responsible AI, Model Risk Management, Data Governance, Technology Risk as a senior leader
• Deep expertise in AI Governance, Responsible AI, Risk Management, and Policy Frameworks and Technical Acumen
• Experience developing AI governance frameworks and leading oversight reviews in a highly regulated environment
• Strong executive communication, influencing, decision-making, and stakeholder management skills
• Demonstrated ability to drive enterprise-wide initiatives and influence without direct authority
• People Management experience

Benefits

• Health insurance
• Tuition reimbursement
• Accident and life insurance
• Retirement savings plans