Elevate vulnerability intelligence at RBC as a Product Manager specializing in AI-driven analytics and data engineering. Your expertise will focus on developing advanced data pipelines and automated solutions in a hybrid work environment. In this role, you will lead the transition to Agentic AI reporting while working closely with Cybersecurity and business stakeholders.

You’ll leverage skills in Python, SQL, and Azure Databricks to design and maintain complex data systems. This position prioritizes cutting-edge solutions for real-time vulnerability analysis and reporting. Key Responsibilities:
Design and maintain complex data pipelines using SQL and Azure Databricks
Lead transition from Tableau to Agentic AI-powered analytics




Develop Python automation for data collection and reporting
Optimize AI prompts for automated vulnerability assessments
Collaborate with stakeholders to deliver customized intelligence Requirements:
5+ years in data engineering or analytics roles
Solid Python programming and SQL skills
Experience with Azure Databricks and Snowflake
Proven knowledge of AI prompting and integration
Familiarity with cybersecurity risk frameworks Bring your expertise in data engineering and AI to drive cutting-edge cybersecurity solutions at RBC.

📌 Rbc Product Manager For Ai Systems Toronto (Canada)
🏢 RBC
📍 Canada