About The Position

As the Governance Design & Framework Lead, you will define how RBC classifies AI usage risk and establishes the controls and governance decisions required for our AI platform. This strategic leadership role translates business and regulatory requirements into clear, consistent governance frameworks that are transparent, defensible, and automation ready. You’ll 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.

Requirements

  • 10+ years of demonstrated experience designing enterprise governance frameworks, risk classification models, or operating models that balance innovation, regulatory expectations, and business outcomes.
  • A “systems like thinker” with a proven ability to understand how complex technology platforms operate and translate business, regulatory, and technical requirements into scalable governance frameworks and decision protocols.
  • Comfortable working in emerging domains where regulations, industry standards, and best practices are rapidly evolving.
  • Ability to define the path forward when one doesn’t exist.
  • 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.

Nice To Haves

  • Professional certifications in risk management, governance, or related fields (e.g., CRISC, CGEIT, CISM)
  • Experience with cloud computing, applications architecture, and system integration in enterprise environments
  • Background in data architecture development and application security with a focus on continuous improvement
  • Active participation in industry forums, standard-setting bodies, or working groups focused on AI governance and risk management

Responsibilities

  • Define risk, establish controls, determine risk and rights.
  • Build automation first decision protocols, establish escalation, partner with business and compliance stakeholders.
  • Risk Classification & Decision Framework
  • Control Requirements & Standards
  • Decision Protocol & Routing Logic
  • Residual Risk & Acceptance Management
  • Governance Policy & Documentation
  • Industry Forum Participation
  • Governance System Integration
  • Regulatory Requirements & Framework Alignment
  • Maintain current understanding of applicable regulatory frameworks including NIST AI RMF, ISO 42001, SR 26-2, OSFI E-23, and EU AI Act

Benefits

  • Bonuses
  • Flexible benefits
  • Competitive compensation
  • 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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