Senior Manager overseeing Data Security Automation and Engineering team at RBC. Leading innovative solutions for cybersecurity challenges and ensuring team development.
Responsibilities
Lead, mentor, and develop Senior Security Automation Engineering team
Establish performance expectations, provide technical guidance, and create career development opportunities
Set team priorities and roadmap; define technical strategy for SOAR platform integration, optimization, and incident response automation workflows
Integrate and optimize SOAR product capabilities for incident response and automation workflows
Oversee platform enhancements and technical direction
Lead the design, creation, testing, and refinement of playbooks in SOAR product to automate incident response procedures at scale
Troubleshoot complex technical issues with development teams and external vendors
Collaborate with other Global Security teams and stakeholders to enhance organizational security posture
Develop and architect customized, innovative solutions to complex Data Security automation problems
Manage team capacity, resource allocation, and project prioritization; track metrics and performance indicators for team delivery
Requirements
Must have 5-7 years in cybersecurity with at least 3 years in development, security automation, or incident response engineering
Demonstrated experience leading and managing technical teams
Advanced proficiency in programming languages such as Python, with knowledge in R, C#, JavaScript, and HTML & CSS
Strong understanding of relational databases (MsSQL, PostgreSQL) and non-relational databases (MongoDB)
Experience with machine learning models and large language model packages (PyTorch, Transformer)
Collaborative team player with strong willingness to share knowledge and mentor others
Highly developed communication skills (verbal and written)
Creative thinker and analytical problem-solver who is self-driven and capable of working in a fast-paced environment
Proven ability to manage multiple complex projects and priorities simultaneously
Nice-to-have: Master’s degree in computer science or Certified Information Systems Security Professional (CISSP) certification
Experience with fine-tuning machine learning models (supervised & unsupervised)
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
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