# Lead Data Scientist

**Company**: RBC
**Location**: Toronto, Ontario
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Finance

**Apply**: https://rbc.wd3.myworkdayjobs.com/en-US/RBCGLOBAL1/job/TORONTO-Ontario-Canada/Lead-Data-Scientist_R-0000185630-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_06e520b9-320

## 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.

## Skills

### Required
- AI technologies
- LLMs
- agents
- RAG
- agentic systems
- AI infrastructure
- hands-on coding
- infrastructure-as-code
- API design
- modern development practices
- technical standards
- patterns
- reference architectures
- compliance frameworks
- governance

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Source: [Apply at rbc.wd3.myworkdayjobs.com](https://rbc.wd3.myworkdayjobs.com/en-US/RBCGLOBAL1/job/TORONTO-Ontario-Canada/Lead-Data-Scientist_R-0000185630-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)