Description
AI Architecture Governance & Insights establishes enterprise-wide AI architecture standards, patterns, and governance frameworks for RBC.
As a Lead Data Scientist in the Governance & Insights team, you will build the standards, patterns, and tools that enable RBC's AI transformation at scale.
Your responsibilities include:
- Governance & Standards (Core Focus)
+ Create and maintain AI governance artifacts: patterns, standards, reference architectures, and technical whitepapers + Manage CALM standard evolution and its alignment to AI platforms (Athena, Nova, Atlas) + Define and evolve the AI Technical Reference Model, capability catalog, and license-to-build criteria + Play a key role in the AI Architecture Review Board, including preparing materials, reviewing submissions, and contributing architectural opinions + Represent AI Architecture perspectives at broader governance forums (Technology Infrastructure and Security review boards) + Track Agent adherence to standards/patterns and report on compliance/non-compliance
- Architecture Practice & Insights
+ Partner with engineering teams to review solution designs and provide architectural guidance + Deliver AI asset insights: catalog state, capability coverage, compliance metrics, and adoption trends + Modernize the SafeAI process and integrate with AI platform governance + Publish Architecture Decision Records (ADRs) for cross-cutting decisions + Coordinate cross-pillar architecture decisions and continuously improve certification processes
- Tooling & Automation ("As Code" Mindset)
+ Build tools, Agents, and MCPs to automate architecture governance (e.g., CALM Visualizer, SafeAI tooling) + Surface governance data through AI Architecture Agents + Translate business and technical problems into implementable designs, then contribute hands-on development
- Flexibility & Partnership
+ Research emerging AI technologies and evaluate vendor solutions + Partner with EA, LOB governance groups, and GCS on security architecture alignment + Drive POCs for new AI capabilities and governance approaches + Work directly with lines of business to understand needs and architect practical solutions
You're our ideal candidate if you have:
- Technical Depth
+ Strong grasp of AI technologies (LLMs, agents, RAG, agentic systems, AI infrastructure) + Hands-on coding ability. You must be comfortable building tools, automations, and prototypes yourself + Experience with infrastructure-as-code, API design, and modern development practices
- Architecture Mindset
+ Proven ability to design scalable, secure, maintainable systems + Understanding of platform patterns, reusability, and governance at scale + Can translate abstract requirements into concrete, implementable designs
- Governance & Standards
+ Experience creating technical standards, patterns, or reference architectures + Understanding of compliance frameworks and how to operationalize governance + Comfortable working with Architecture Review Boards or similar governance bodies
- Operating Model
+ Adaptability: Thrive in fast-paced environments where priorities shift based on leadership asks and platform evolution + Parallel execution: Comfortable context-switching between strategic work (standards development) and tactical delivery (tool building, ARB support) + Partnership: Strong collaboration skills, you'll work across EA, Security, Engineering, and business teams + Bias for action: Don't wait for perfect information; build, test, iterate
What's in it for you?
- Be part of a dynamic & flexible working environment
- Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable
- Leaders who support your development through coaching and managing opportunities
- Ability to make a difference and lasting impact from a local-to-global scale.