Director Data, AI, and Specialized Business at Royal Bank of Canada | CA | Rezi

Director Data, AI, and Specialized Business at Royal Bank of Canada

Director Data, AI, and Specialized Business

Royal Bank of Canada · CA

Today

Director Data, AI, and Specialized Business

Royal Bank of Canada · CA

7 hours ago
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About the Role

This role leads the Data, AI, KYC and Specialized Business portfolio within RBC Caribbean Banking Technology, focusing on delivering modern, resilient solutions. The position involves modernizing the Caribbean data foundation, engineering AI solutions, and overseeing software development for KYC and Specialized Business Applications. The ideal candidate combines technical expertise in data and AI with strong leadership and project delivery skills in the banking sector.

Responsibilities

  • Own end to end delivery of data engineering and data product initiatives for the Caribbean.
  • Lead the data modernization roadmap and architecture, retiring legacy data flows.
  • Establish and enforce data governance practices meeting regulatory and audit expectations.
  • Mature CI/CD and orchestration for data pipelines with automated testing and monitoring.
  • Partner with business lines to define data products and self-service capabilities.
  • Define, communicate and execute the AI solutions roadmap for Caribbean applications.
  • Build and grow an AI engineering practice, designing, developing, deploying and operating AI solutions.
  • Establish engineering foundations for AI at scale, including reusable patterns for LLM integration and RAG.
  • Lead operational support for AI solutions in production, including monitoring and incident management.
  • Champion ethical and responsible AI, ensuring compliance with RBC policies and regulatory requirements.
  • Stay abreast of AI advancements and evaluate their applicability to the Caribbean banking context.
  • Lead the software development team for a portfolio of vendor applications supporting Specialized Business functions.
  • Lead active development of the KYC platform, owning the backlog, architecture direction, and engineering quality.
  • Manage vendor relationships and service ownership, including contracts, SLAs, and escalations.
  • Deliver the project portfolio through disciplined Agile delivery, managing scope, schedule, budget, and quality.
  • Embed modern engineering practices (DevOps, automation, CI/CD) to improve resilience and reduce risk.
  • Ensure disaster recovery, uptime, and resilience for all production systems.
  • Lead, mentor, and grow a high-performing, cross-regional team of engineers.
  • Own talent acquisition, performance management, career development, and retention for the team.
  • Collaborate with Caribbean business leaders, product managers, and technology partners.
  • Contribute to the Senior Director’s broader technology strategy and represent the portfolio in governance forums.

Requirements

  • 10+ years of progressive experience across data engineering, software development and/or AI engineering.
  • 8+ years in a leadership role managing engineers and delivery teams, with a strong emphasis on production delivery and operations.
  • Proven experience working within the banking or financial services industry.
  • Demonstrated track record of delivering large scale, multi project programs in complex enterprise environments.
  • Hands on AI engineering skills and proven experience building AI solutions from concept to production.
  • Strong experience with modern data architecture and cloud data platforms.
  • Experience managing a portfolio of vendor applications alongside internal development.
  • Exceptional leadership, mentorship, and team building abilities.
  • Outstanding communication, presentation, and stakeholder management skills, including with senior executives.
  • Bachelor’s degree in Computer Science, Engineering, Data Science or a related quantitative field.
  • Experience with KYC, AML or onboarding platforms and related regulatory obligations (Nice to have).
  • Experience leading distributed or cross regional teams (Nice to have).
  • Familiarity with Caribbean or international banking (Nice to have).
  • Knowledge of data engineering tools (Nice to have).
  • Master’s degree in a related field (Nice to have).
  • Adaptability, critical thinking and a growth mindset (Nice to have).

Skills

  • Data Engineering
  • AI Engineering
  • Software Development
  • Data Modernization
  • Data Architecture
  • Data Governance
  • CI/CD
  • Orchestration
  • Data Products
  • Self-Service Capabilities
  • AI Solutions
  • Generative AI
  • Agentic AI
  • Large Language Models (LLM)
  • Intelligent Process Automation
  • Production AI Solutions
  • LLM Integration
  • Retrieval Augmented Generation (RAG)
  • Agent Orchestration
  • AI Evaluation and Testing
  • Prompt Management
  • Context Management
  • AI Asset Registry
  • AI Operational Support
  • Monitoring and Observability
  • Incident Management
  • Logging
  • Performance Tuning
  • Drift and Quality Detection
  • AIOps
  • Responsible AI
  • Model Risk Management
  • Privacy Legislation
  • KYC Platform Development
  • Vendor Application Management
  • Release Management
  • Configuration
  • Integration
  • Upgrades
  • Incident Response
  • Production Support
  • Vendor Relationship Management
  • Service Ownership
  • Agile Delivery
  • Dependency Management
  • Risk Management
  • Status Reporting
  • Executive Communication
  • DevOps
  • Automation
  • Automated Testing
  • Disaster Recovery
  • Uptime
  • Resilience
  • Talent Acquisition
  • Performance Management
  • Career Development
  • Team Building
  • Stakeholder Management
  • Application Development
  • Application Maintenance
  • Applications Architecture
  • Commercial Acumen
  • Enterprise Application Delivery
  • Information Technology Management
  • Information Technology Trends
  • Programming Languages
  • System Applications

Location

  • Toronto, Canada

Work Type

  • Full time
  • Regular

Experience Level

  • Director
  • Senior

Education Level

  • Bachelor’s degree in Computer Science, Engineering, Data Science or a related quantitative field
  • Master’s degree in a related field

Benefits

  • Bonuses
  • Flexible benefits
  • Competitive compensation
  • Stock options
  • Coaching and managing opportunities
  • Flexible work and life balance options

About the Company

  • 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.

Equal Opportunity

  • 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.