Senior GRC Advisor - Data & AI Governance (Calgary)

Overview

This role directly reports to and supports the Associate Director of T&O Risk (1B) – Business Risk Advisory and Controls – Testing & Advisory. The incumbent provides independent advisory, oversight, and validation of governance, risk, and control activities that support Enterprise Data Governance and AI Governance. Key Responsibilities

Maintain a strong understanding of applicable regulatory requirements, industry standards, and internal policy frameworks; monitor changes and provide timely governance, risk, and control insights. Support PSPRA, RCRA and other risk assessment activities across Data Governance and AI-related processes from an advisory and challenge perspective. Provide governance and control advisory support to business partners, clarifying expectations and risk considerations without directing operational decision‑making. Apply governance frameworks and control principles to assess alignment of business practices with enterprise standards and risk appetite. Communicate governance, risk, and control considerations clearly to stakeholders, supporting informed decision‑making and consistent application of expectations. Serve as a governance advisor to business and technology stakeholders, guiding on risk management practices, control design considerations, and policy interpretation. Support the development, refinement, and socialization of governance standards, procedures, and guidance related to Data and AI risk management. Facilitate governance forums, working sessions, and stakeholder discussions to promote shared understanding of governance expectations and emerging risks. Review governance artifacts, assessments, and documentation prepared by others to provide advisory feedback on completeness, clarity, and alignment with governance and risk standards. Identify governance gaps, emerging risks, or areas of inconsistency and escalates observations with clear articulation of risk and impact. Prepare governance summaries, advisory materials, and reporting to support leadership oversight and informed risk discussions. Build and maintain strong working relationships with internal and external partners, particularly across first and second‑line functions. Act as a trusted governance, risk, and control advisor to stakeholders, balancing effective challenge with collaboration. Develop a deep understanding of end‑to‑end business processes related to data and AI model risk management and lifecycle management to provide relevant and practical guidance. Partner with stakeholders to support governance alignment while respecting ownership and accountability within the first line of defense. Continuously enhance knowledge and skills in Data and AI governance, compliance, and risk management. Work independently, exercising sound judgment to identify, assess, and elevate governance or control concerns within defined guidelines. Coach and mentor junior staff to strengthen governance understanding, consistency, and advisory effectiveness across the team. Qualifications

5–7 years of relevant experience in governance, risk, compliance, data governance, AI governance, risk management, audit, or related disciplines with a strong focus on advisory and oversight activities. Strong knowledge of Data and AI governance risk and regulatory requirements, including data privacy, data quality, model risk, and emerging AI governance considerations. Solid understanding of applicable regulations, industry standards, and control frameworks relevant to enterprise risk management and the data and AI lifecycle. Experience supporting risk assessments (e.g., PSPRA, RCRA, process risk and control assessments), including advising on risk identification, control considerations, and Key Risk Indicators (KRIs). Robust analytical and critical‑thinking skills, with the ability to assess governance and control alignment, identify gaps, and articulate risk implications. Effective communication, collaboration, and stakeholder management skills, with the ability to influence across first and second‑line functions. Ability to work independently, exercise sound judgment, and appropriately elevate governance or risk concerns. Required Professional Certifications

CDMP – Certified Data Management Professional (DAMA) CRISC – Certified in Risk and Information Systems Control (ISACA) OR CGRC – Certified in Governance, Risk and Compliance (ISC2) Preferred Certifications

AIGP – Artificial Intelligence Governance Professional (IAPP) ISO/IEC 42001 – AI Lead Auditor/Implementer (ISO) Salary

Compensation: $69,000 – $129,000, Salaried. EEO Statement

BMO is committed to an inclusive, equitable and accessible workplace. Accommodations

Accommodations are available on request for candidates taking part in all aspects of the selection process. To request an accommodation, please contact your recruiter. "

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