Director - Data Distribution and Insights

RBC•Toronto, ON

7d•Onsite

About The Position

We are seeking an experienced Director - Data Distribution and Insights to lead our Data Service Canada team within the Data Distribution function. This role will oversee the strategy, delivery, and evolution of enterprise data ingestion, storage, and consumption solutions supporting multiple business lines and consumption patterns. The Director will also drive AI-led development practices and modern SDLC methodologies to drive innovation and operational excellence.

Requirements

Minimum 10+ years in software development, with 3 years in director-level or equivalent leadership roles leading technical organizations through significant changes.
Experience managing multiple technology stacks, platforms, and specialized teams.
Experience with SQl Server, Snowflake, IBM Data Stage, Python, Spring Batch Frameworks, GraphQL, Kafka
Proven success with technology transformation initiatives (modernization, tooling, processes, culture).
Experience establishing and maintaining strong business-technology partnerships; demonstrated success influencing without direct authority.
Exposure to Gen AI opportunities and DevOps practices (hands-on experience preferred).

Nice To Haves

Banking or highly regulated industry experience is a plus.

Responsibilities

Develop and execute product roadmaps introducing new data consumption patterns and technology solutions
Drive technology evolution and innovation across the data platform ecosystem
Conduct and oversee proofs of concept (PoCs) to validate new products and processes
Drive AI-led development initiatives to enhance team productivity and solution quality
Lead multiple squads in delivering enterprise data ingestion, storage, and consumption projects
Align team delivery to operational and analytical AI strategy across WMC and related business lines
Manage regulatory, compliance project and program deliverables
Foster a culture of continuous improvement and innovation
Integrate AI-driven tools and methodologies into the team's Software Development Life Cycle (SDLC)
Establish and track AI SDLC practices including code generation, testing automation, and intelligent deployment
Drive adoption of AI-enhanced development processes to improve delivery velocity and code quality
Monitor and measure AI integration effectiveness across the team
Establish and manage vulnerability management structure and operational models
Ensure alignment with data security and compliance governance frameworks
Identify and remediate vulnerabilities in existing development solutions
Embed security best practices within AI-led SDLC processes
Oversee adoption and progression of data strategy aligned with WMC strategy and stakeholder needs
Drive batch-based data consumption patterns across WMC teams
Manage platform technologies including SilverCore, Snowflake, and Batch Ingestion/Consumption Framework
Lead technical architecture decisions supporting AI and modern development practices