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RBC

Senior Director, AI and Data & Integration Platforms

RBC is hiring a Senior Director, AI and Data & Integration Platforms. Level rates it ; you can apply on RBC.

Level's read on this job

  • Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include Databricks, Cloud Platforms and API.
  • Level classifies it as an executive role.
  • Level lists 802 other open roles at RBC.

AI in this role

Lead enterprise-wide AI strategy, data platform modernization, and integration infrastructure transformation at RBC Insurance.

DatabricksCloud PlatformsAPI
artificial-intelligencedata-architecturedata-governanceintegration-architectureleadership

Job Description

What is the opportunity?

At RBC Insurance, AI is fundamental to transforming how we operate, serve our customers, and compete in a rapidly evolving financial services landscape. To realize this opportunity, we need a visionary leader who can simultaneously architect and enable enterprise AI capabilities, modernize and enhance our data platforms, and transform our legacy integration infrastructure into a nimble, scalable foundation.

As Senior Director, AI and Data & Integration Platforms, you will own the strategy and end-to-end delivery across all three domains. You'll be responsible for building the intelligent, data-driven foundation that enables RBC Insurance to unlock AI-driven intelligence to enhance customer experiences, and fundamentally transform our business model. This is your opportunity to lead one of the most consequential technology transformations in our organization's history.

What will you do?

  • Own enterprise AI strategy and delivery: Develop and execute the long-term vision for AI capabilities across RBC Insurance IT and business operations. Identify frontier, game-changing AI use cases that drive competitive advantage, serve as the expert for emerging AI technologies, and position RBC Insurance as an AI-first organization.
  • Architect and modernize data platforms: Lead the strategic transformation of our global data foundation, stabilizing and enhancing both on-premises and cloud data platforms. Build a scalable, secure, resilient data architecture that serves as the foundation for AI, analytics, and business intelligence. Ensure data governance, quality, and accessibility across the enterprise while optimizing cost and performance.
  • Transform legacy integration platforms: Champion the modernization of our integration infrastructure, moving from legacy systems to API-first, event-driven architectures. Design integration platforms that enable seamless data flow, real-time decision-making, and agile business capability delivery.
  • Drive strategy into delivery at scale: Translate strategic vision into executable roadmaps and quarterly milestones. Lead end-to-end execution of transformational initiatives spanning AI implementation, data platform migration, and integration modernization. Establish accountability for delivery excellence, quality, and measurable business outcomes.
  • Build and lead high-performing teams: Provide strategic leadership to data architects, AI engineers, integration specialists, and technical teams. Foster a high-performance culture of innovation, collaboration, and continuous learning. Coach technical leaders on strategic thinking, delivery excellence, and career development. Build a team of thought leaders who stay at the forefront of AI, data, and integration technologies.
  • Build strategic partnerships and stakeholder alignment: Serve as the trusted delivery partner to business leaders, IT executives, and technology teams. Cultivate strong relationships across Technology, Digital Channels, Business Operations, and Product teams. Align organizational priorities, remove obstacles, and drive speed to impact through collaborative leadership..
  • Champion continuous learning: Cultivate a team of technical thought leaders who stay at the forefront of industry trends, emerging technologies, and digital platform best practices, ensuring RBC Insurance maintains competitive advantage and drives innovation across digital channels.

What do you need to succeed?

Must Have

  • 10+ years of progressive leadership in AI, data, and/or technology transformation, with 5+ years leading technical teams delivering enterprise-scale IT solutions. Demonstrated track record of executing transformational business strategy and delivering measurable organizational impact.
  • Deep expertise in artificial intelligence and machine learning: Proven experience architecting, implementing, and scaling AI solutions in production environments. Strong understanding of GenAI and Agentic AI applications across business operations, including predictive analytics, automation, and intelligent decision-making. Ability to translate AI capabilities into business value and organizational efficiencies.
  • Expert-level data platform leadership: Extensive experience designing, building, and modernizing enterprise data platforms (data lakes, data warehouses, cloud platforms). Proficiency with both legacy and modern data technologies. Strong foundation in data governance, quality, integration, and analytics.
  • Integration platform and modernization expertise: Experience leading the transformation of legacy integration infrastructure to modern architectures. Deep understanding of API-first design, event-driven systems, and hybrid technology ecosystems
  • Enterprise delivery and execution excellence: Demonstrated ability to lead complex, multi-year transformational programs at enterprise scale within financial institutions or regulated industries. Strong foundation in software development lifecycle, budgeting, resource allocation, and delivery governance.
  • Executive leadership and stakeholder influence: Exceptional ability to lead diverse technical teams and influence senior stakeholders through data-driven decision-making, compelling communication, and strategic facilitation. Strong executive presence and ability to operate at the C-level.

Nice to Have

  • Prior experience in financial services or regulated industries, with deep understanding of compliance, risk management, and enterprise governance frameworks.
  • Hands-on experience with specific AI/ML platforms (e.g., cloud AI services, Agentic AI, LLMs, GenAI, MCP, etc), modern data platforms (e.g., Databricks, Snowflake), and integration technologies (e.g. Apache Kafka, APIGee, event streaming, etc).
  • Experience in leading AI adoption and scaling development practices. Established and/or Chaired AI Centers of Excellence that drove organizational AI adoption.
  • Experience leading successful data modernization programs on multi-platform hybrid environments in large enterprises.

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • A world-class training program in financial services
  • Opportunities to take on progressively greater accountabilities.

#LI-Post

#TECHPJ

Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Quality Management, Requirements Analysis, Software Product Management, Waterfall Model

Additional Job Details

Address:

MEADOWVALE BUSINESS PARK, 6880 FINANCIAL DR:MISSISSAUGA

City:

Mississauga

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-09-23

Application Deadline:

2026-11-15

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

How we rate this

Senior Director, AI and Data & Integration Platforms at RBC rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Artificial IntelligenceData ArchitectureData GovernanceIntegration ArchitectureLeadershipDatabricksCloud PlatformsAPI

Questions you could be asked

  1. Tell me about a project where artificial intelligence was part of your work. What did you do?
  2. Tell me about a project where data architecture was part of your work. What did you do?
  3. Tell me about a project where data governance was part of your work. What did you do?
  4. Tell me about a project where integration architecture was part of your work. What did you do?
  5. Tell me about a project where leadership was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Artificial Intelligence, Data Architecture, Data Governance, Integration Architecture, and Leadership. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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