Governance Design & Framework Lead defining AI usage risk classifications and establishing controls at RBC. Translating business and regulatory requirements into comprehensive governance frameworks.
Responsibilities
Define how RBC classifies AI usage risk and establishes the controls and governance decisions required for our AI platform.
Translate business and regulatory requirements into clear, consistent governance frameworks that are transparent, defensible, and automation ready.
Be the integrator of governance policy, ensuring that risk classifications drive appropriate controls, controls connect to verification evidence, and decision protocols are operationalizable across the organization.
In the areas listed, define risk, establish controls, determine risk and rights. Build automation first decision protocols, establish escalation, partner with business and compliance stakeholders.
Maintain current understanding of applicable regulatory frameworks including NIST AI RMF, ISO 42001, SR 26-2, OSFI E-23, and EU AI Act.
Communicate and interact frequently with RBC partners and/or employees located across Canada and/or worldwide.
Requirements
10+ years of demonstrated experience designing enterprise governance frameworks, risk classification models, or operating models that balance innovation, regulatory expectations, and business outcomes.
Proven ability to understand how complex technology platforms operate and translate business, regulatory, and technical requirements into scalable governance frameworks and decision protocols.
Thrive in ambiguity and comfortable working in emerging domains where regulations, industry standards, and best practices are rapidly evolving.
Proven ability to partner with engineering, risk, legal, compliance, and executive stakeholders to build alignment and drive enterprise-wide governance decisions.
Experience developing governance frameworks, and control models that are transparent, defensible, measurable, and capable of being implemented through technology and business processes.
Experience designing governance, risk or control frameworks within highly regulated industries such as financial services, banking, insurance, healthcare or government.
Proven ability to move from high-level policy and regulatory requirements to practical governance standards that can be consistently adopted across an enterprise.
Professional certifications in risk management, governance, or related fields (e.g., CRISC, CGEIT, CISM) (Nice-to-have)
Experience with cloud computing, applications architecture, and system integration in enterprise environments (Nice-to-have)
Background in data architecture development and application security with a focus on continuous improvement (Nice-to-have)
Active participation in industry forums, standard-setting bodies, or working groups focused on AI governance and risk management (Nice-to-have).
Benefits
A comprehensive Total Rewards Program including bonuses, flexible benefits, competitive compensation, and stock where applicable
Leaders who support your development through coaching and managing opportunities to build expertise in cutting-edge AI governance
Ability to make a lasting impact by shaping how RBC governs AI usage and sets industry standards for responsible AI deployment
Work in a dynamic, collaborative, high-performing team at the forefront of AI risk management in financial services
Flexible work/life balance options that support your professional and personal priorities
Opportunities to take on challenging, strategic work that influences enterprise-wide governance policy and regulatory positioning
Access to industry forums and thought leadership opportunities that build your professional profile and contribute to emerging standards
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