Senior Director, AI and Data & Integration Platforms

rbc; Mississauga; On-site; CAD 180,000 - 280,000; Full time

Job summary

RBC Insurance is seeking a visionary leader to architect and enable enterprise AI capabilities, modernize data platforms, and transform legacy integration into scalable foundations. You will translate strategy into roadmaps, lead diverse tech teams, and partner with business and IT leaders to deliver measurable impact across the organization.

This role requires 10+ years of leadership in AI and data transformation within regulated industries.

Qualifications

• 10+ years leading AI, data, or technology transformation.
• 5+ years leading technical teams delivering enterprise-scale IT solutions.
• Deep expertise in artificial intelligence and machine learning, including GenAI applications.
• Strong foundation in data governance, quality, integration, and analytics.

Responsibilities

• Own enterprise AI strategy and delivery: develop and execute the long-term vision for AI across RBC Insurance IT and operations.
• Architect and modernize data platforms: lead transformation of global data foundation (on-premises and cloud) with governance and cost optimization.
• Transform legacy integration platforms: modernize to API-first, event-driven architectures enabling real-time data flow.
• Translate strategy into executable roadmaps and quarterly milestones and deliver measurable outcomes.
• Build and lead high-performing teams of data architects, AI engineers, and integration specialists.

Skills

AI leadership

Data architecture

Enterprise delivery

Team leadership

Stakeholder alignment

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.

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 allocat