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Senior Director, AI and Data & Integration Platforms

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What you’ll work on

Full posting
  • Set and execute the long-term enterprise AI strategy and roadmap

  • Modernize on-premises and cloud data platforms into a scalable data foundation

  • Move legacy integration infrastructure to API-first, event-driven architectures

  • Lead multi-year AI, data platform and integration delivery with quarterly milestones

  • Build and coach high-performing architecture, AI and integration teams

From the employer’s posting
Develop and execute the long-term vision for AI capabilities across RBC Insurance IT and business operations.
Lead the strategic transformation of our global data foundation, stabilizing and enhancing both on-premises and cloud data platforms.
moving from legacy systems to API-first, event-driven architectures
Translate strategic vision into executable roadmaps and quarterly milestones.
Provide strategic leadership to data architects, AI engineers, integration specialists, and technical teams.
Apply at Royal Bank of Canada

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 1, 20262 days ago
Recorded sightings
4
Last seen by us
Nov 4, 2026
Employer says posted
Oct 26, 2026

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Day 2

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Royal Bank of Canada is hiring

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Where the posting names them
- 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.

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

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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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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Location & working pattern

Mississauga, Ontario, Canada

- 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.
More source context
- 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?
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