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From the employer's careers site First seen 9 Nov 2026

Senior Director, AI and Data & Integration Platforms

The employer hasn't listed a salary.

Apply on RBC Insurance

Description

At RBC Insurance, AI is fundamental to transforming how we operate, serve our customers, and compete in a rapidly evolving financial services landscape.

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.

Responsibilities

  • Own enterprise AI strategy and delivery: Develop and execute the long-term vision for AI capabilities across RBC Insurance IT and business operations.
  • Architect and modernize data platforms: Lead the strategic transformation of our global data foundation, stabilizing and enhancing both on-premises and cloud data platforms.
  • Transform legacy integration platforms: Champion the modernization of our integration infrastructure, moving from legacy systems to API-first, event-driven architectures.
  • Drive strategy into delivery at scale: Translate strategic vision into executable roadmaps and quarterly milestones.
  • Build and lead high-performing teams: Provide strategic leadership to data architects, AI engineers, integration specialists, and technical teams.
  • Build strategic partnerships and stakeholder alignment: Serve as the trusted delivery partner to business leaders, IT executives, and technology teams.
  • 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.

Requirements

  • 10+ years of progressive leadership in AI, data, and/or technology transformation, with 5+ years leading technical teams delivering enterprise-scale IT solutions.
  • Deep expertise in artificial intelligence and machine learning: Proven experience architecting, implementing, and scaling AI solutions in production environments.
  • Expert-level data platform leadership: Extensive experience designing, building, and modernizing enterprise data platforms (data lakes, data warehouses, cloud platforms).
  • Integration platform and modernization expertise: Experience leading the transformation of legacy integration infrastructure to modern architectures.
  • Enterprise delivery and execution excellence: Demonstrated ability to lead complex, multi-year transformational programs at enterprise scale within financial institutions or regulated industries.
  • 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.

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.
  • Experience leading successful data modernization programs on multi-platform hybrid environments in large enterprises.

What's in it for you?

  • 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.

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Skills

Required

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

Nice to have

Apply on RBC Insurance