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Added 6 mins ago
Director, Retail Distribution
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RBC

Senior Director, AI and Data & Integration Platforms

Mississauga, ON, Canada

Job type: Full-time
Apply by: Oct 25, 2026
Posting language: English
Posted: Sep 23, 2026

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Applications open in a new tab.

Original job description

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.

#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:

2026-10-25

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.

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More about this job

Responsibilities

The Senior Director will lead the enterprise AI strategy, modernize data platforms, and transform legacy integration infrastructure into scalable, event-driven architectures. They are responsible for building high-performing teams and driving end-to-end delivery of transformational technology initiatives across the organization.

Requirements

Candidates must have over 10 years of progressive leadership experience in AI, data, and technology transformation, including 5 years leading technical teams. Deep expertise in AI/ML, cloud data platforms, and modern integration architectures is required, along with a proven track record of executing enterprise-scale programs.

Skills

Artificial Intelligence
Machine Learning
Data Platforms
Cloud Computing
API-first Design
Event-driven Architecture
Data Governance
Strategic Leadership
Predictive Analytics
GenAI
Agentic AI
Data Warehousing
Stakeholder Management
Financial Services
Enterprise Architecture

Benefits

Bonuses
Flexible benefits
Competitive compensation
Stock options
Training program

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
GenAI
Agentic AI
Data Lakes
Data Warehouses
Cloud Platforms
API-first
Event-driven Architecture
Databricks
Snowflake
Apache Kafka
APIGee
Data Governance
Predictive Analytics
Digital Transformation
Financial Services
Enterprise Architecture
Strategic Planning
Big Data Management
Cloud Computing
Database Development
Data Mining
ETL Processing
Quality Management
Requirements Analysis
Software Product Management
Waterfall Model
Leadership

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