Senior Manager, Data Security Automations & Engineering (Global Security)
Role Overview
RBC's Data Security Automation and Engineering team identifies and detects data-loss incidents that may pose organizational risk.
The Senior Manager leads security automation engineers who develop solutions to security problems and improve the organization's security posture.
The role combines technical leadership, people management, delivery, and team development.
Key Skills for This Role
Full Job Posting
Opportunity
RBC's Data Security Automation and Engineering team identifies and detects data-loss incidents that may pose organizational risk.
The Senior Manager leads security automation engineers who develop solutions to security problems and improve the organization's security posture.
The role combines technical leadership, people management, delivery, and team development.
What you will do
- Lead, mentor, and develop the engineering team; set expectations, provide technical guidance, and create career-development opportunities.
- Set team priorities and roadmap; define SOAR integration, optimization, and incident-response automation strategy.
- Oversee SOAR platform enhancements and lead development, testing, and refinement of incident-response playbooks.
- Troubleshoot technical issues with development teams and external vendors, and assist with fixes.
- Collaborate with Global Security teams and stakeholders on security enhancements and customized automation solutions.
- Manage team capacity, resource allocation, project priorities, and delivery metrics.
Must-have qualifications
- 5–7 years in cybersecurity, including at least 3 years in development, security automation, or incident-response engineering, with demonstrated technical team leadership.
- Advanced programming proficiency such as Python; knowledge in R, C#, JavaScript, and HTML/CSS is also requested.
- Strong understanding of relational databases, including MS SQL Server and PostgreSQL, and non-relational databases such as MongoDB.
- Experience with machine-learning models and large language model packages such as PyTorch and Transformer.
- Collaborative, communicative, self-driven problem-solver who can mentor others and manage complex priorities in a fast-paced environment.
Nice-to-have qualifications
- A master's degree in computer science or CISSP certification is a plus.
- Experience fine-tuning machine-learning models using supervised or unsupervised approaches is a plus.
Rewards and development
- RBC describes a total rewards program with bonuses and flexible benefits, competitive compensation, and stock where applicable.
- The posting mentions coaching and development opportunities, a collaborative team, training, and challenging work.
Location details
- The job details list an address and city in Toronto, while the source location fields identify Vancouver, British Columbia.
Application
- The posting is for an existing vacancy and states applications are accepted until the day before the listed deadline.
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