1 day ago

Director, Data Platform Governance

RBC

On Site
Full Time
CA$175,000
Toronto, ON

Job Overview

Job TitleDirector, Data Platform Governance
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered SalaryCA$175,000
LocationToronto, ON

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Job Description

Director, Data Platform Governance

This opportunity involves leading governance operations for RBC's Lumina AI & Data Platform, ensuring efficient, compliant production deployment of Data & AI use cases. The role combines governance leadership, onboarding operations management, and pioneers the use of Agentic AI to transform governance into an intelligent, autonomous, and predictive function.

Your Responsibilities

  • Transform Platform Onboarding: Reduce intake-to-production from Days to Hours using Agentic AI
  • Pioneer Autonomous Governance: Transform governance from a reactive process to proactive, intelligent risk management
  • Scale Through AI: Deploy AI agents to handle governance tasks, achieving autonomous processing of low-risk reviewal
  • Drive production approval decisions and maintain enterprise compliance
  • Build Intelligent Control Framework: Partner with engineering to automate control evaluations using Agentic AI, predictive analytics, and autonomous remediation

Your Ideal Candidate Profile

  • Experience in governance leadership and onboarding operations management
  • Expertise in deploying AI agents for governance tasks
  • Ability to drive production approval decisions and maintain compliance
  • Skills in building intelligent control frameworks with AI and analytics
  • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management

What's in it for you?

  • 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.

About RBC Borealis

RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.

Key skills/competency

  • Data Governance
  • AI Governance
  • Risk Management
  • Compliance
  • Platform Management
  • Process Automation
  • Agentic AI
  • Predictive Analytics
  • Software Engineering Practices
  • Strategic Leadership

Tags:

Data Governance
AI Governance
Risk Management
Compliance
Platform Management
Process Automation
Strategic Leadership
Agentic AI
Predictive Analytics
Software Engineering Practices
AI Agents
Data Platform
SDLC
Coding Standards
Code Reviews
Source Control
Machine Learning
Automation
Data Innovation
Cloud

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How to Get Hired at RBC

  • Research RBC's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume strategically: Highlight expertise in data governance, AI implementation, and leadership at RBC.
  • Showcase AI and data governance projects: Provide concrete examples of transforming processes with Agentic AI.
  • Prepare for technical discussions: Be ready to discuss data platform governance, AI agents, and SDLC best practices.
  • Emphasize proactive risk management: Share experiences in developing intelligent control frameworks and compliance.

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