Sr. Manager, AI-Driven Risk Analytics & Automation

RBC • Toronto, ON

8d • Onsite

About The Position

As Senior Manager of Data Automation and Analytics for Technology & Operations (T&O) Supplier Management Office (SMO), you will be part of a transformational shift in how T&O SMO manages supplier risk and delivers intelligence. You’ll drive modernization of our operating model through AI and modern data practices, balancing hands-on technical expertise with strategic leadership. Guide the evolution from legacy reporting to AI-powered, real-time risk insights that fundamentally improve third-party supplier assessment. Drive automation initiatives to eliminate manual processes, freeing teams for strategic risk decisions. Establish new ways of working where teams leverage AI-augmented analytics and self-service dashboards for faster, smarter decisions. Champion cultural and operational shifts to embrace AI-enabled decision-making.

Requirements

• 5+ years in Data Science/Analytics/Engineering, designing scalable solutions in complex environments.
• 3+ years guiding technical initiatives and mentoring data professionals.
• Expertise in cloud platforms (Snowflake, Databricks, Redshift) and AI/ML tools (Cortex, SageMaker, Azure ML).
• Proven AI/ML/automation skills (e.g., ML models, predictive analytics) in evolving landscapes.
• Success driving change, tech adoption, and data-driven cultures.
• Ability to translate business needs into technical solutions.
• Financial services/regulated industry experience (compliance, risk governance).
• Track record linking data solutions to measurable outcomes (risk reduction, efficiency).

Nice To Haves

• Third-party risk/supplier management experience.
• Hands-on experience with data visualization tools (e.g., Tableau, Power BI).
• RBC/banking systems familiarity.
• Advanced change management training/experience.
• Data governance/compliance expertise (lineage, privacy regulations).
• Agile/DevOps practices knowledge.

Responsibilities

• Leverage data insights, predictive models, and innovation to define a future state for TPRM in the T&O Portfolio.
• Implement modern cloud solutions (e.g., Snowflake, Databricks, Redshift) to enhance agility and collaboration, supporting the transition from on-premises/Dataiku to cloud platforms.
• Build predictive models for automated risk scoring, anomaly detection, and early warning systems.
• Automate manual workflows (risk assessment, validation, reporting) via intelligent automation.
• Develop intuitive AI-augmented dashboards for independent business insights.
• Coach teams to adopt AI-driven decision-making and foster a data-driven culture.
• Deploy continuous monitoring/alerting systems for proactive risk flagging.
• Track transformation outcomes (speed, risk reduction, cost savings); iterate based on feedback.
• Champion AI/data practice adoption by aligning stakeholders and embedding capabilities into operations.

Benefits

• 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 do challenging work, including leveraging AI and SRE principles to drive innovation and operational excellence.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees