Senior Manager, Cloud & AI Security
Role Overview
Lead a team responsible for securing ATB’s cloud platforms and enabling safe AI adoption.
Set the security roadmap, standards, and guardrails, and partner with technology and business teams to embed security in cloud and AI solutions.
Key Skills for This Role
Full Job Posting
About the role
Lead a team responsible for securing ATB’s cloud platforms and enabling safe AI adoption.
Set the security roadmap, standards, and guardrails, and partner with technology and business teams to embed security in cloud and AI solutions.
Accountabilities
- Lead and develop the Cloud & AI Security team and deliver capabilities aligned with business objectives and risk appetite.
- Define the cloud and AI security roadmap with technology, cybersecurity, data, and business leaders.
- Establish security architectures, standards, and guardrails for cloud platforms, AI solutions, and infrastructure.
- Embed security in solution design, development, and deployment using guidance, automated controls, and security reviews.
- Oversee cloud and AI risk identification, assessment, and remediation, including identity, data protection, configuration, and third-party risks.
- Strengthen cloud and AI detection, investigation, and incident response with security operations teams.
- Advise stakeholders on threats, technology decisions, and security trade-offs; report security posture, control effectiveness, roadmap delivery, governance, audit, and regulatory matters.
Skills and experience
- Seven or more years of progressive cybersecurity experience, including security engineering, architecture, or security program delivery.
- Five or more years designing, implementing, or overseeing security controls in Microsoft Azure, AWS, Google Cloud, or other public cloud environments.
- Strong cloud security architecture knowledge, including identity and access, network security, encryption, secrets management, logging, and monitoring.
- Experience integrating security with infrastructure as code, CI/CD pipelines, and cloud deployments.
- Knowledge of AI and generative AI risks, including prompt injection, sensitive data exposure, insecure integrations, and model or supply-chain vulnerabilities.
- Ability to communicate practical security requirements and influence technical teams, business stakeholders, and senior leadership.
- Experience with security frameworks, risk assessments, audits, and regulatory obligations; financial services experience is an asset.
- Degree or diploma in cybersecurity, computer science, or related field, or equivalent education and practical experience; relevant certifications are an asset.
Work arrangement
- Hybrid work arrangement, averaging 1–2 days on-site per week; the arrangement may change with business priorities.
Posting information
- One opening; apply before November 9, 2026.
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