Cybersecurity Risk Manager

Kinaxis Inc.•Remote,

3d•Hybrid

About The Position

The Cybersecurity Risk Manager is accountable for the execution, quality, and continuous improvement of the enterprise cybersecurity risk management program. This role ensures that cybersecurity risks across cloud, product, third‑party, and AI-enabled capabilities are consistently identified, assessed, governed, and translated into decision‑ready insights and actionable remediation outcomes. This role does not include direct people management responsibilities, but it does require cross-functional influence. The role also incorporates FedRAMP readiness and emerging AI risk management considerations into the broader cybersecurity risk program, ensuring cloud, product, third-party, and AI-enabled risks are evaluated consistently and translated into actionable remediation, reporting, and governance outcomes.

Requirements

University degree or equivalent practical experience in Information Security, Computer Science, or related field
5–7 years of progressive experience in cybersecurity risk, IT risk, audit, or compliance
Strong knowledge of risk and control frameworks (NIST CSF, NIST SP 800 53, ISO 27001, SOC 2)
Demonstrated ability to operationalize risk frameworks into scalable processes, metrics, and reporting
Strong analytical and influencing skills, with ability to translate technical risk into business decision insights
Experience working with GRC platforms, audit evidence, and workflow automation
A demonstrated commitment to continuous learning, with a strong desire to stay current on rapid advancements in AI, particularly in generative and agentic AI, and their implications for cybersecurity

Nice To Haves

Professional certifications such as CRISC, CISSP, CISM, CISA, or equivalent.
Experience with cloud security and regulated SaaS/cloud environments, including FedRAMP readiness
Familiarity with AI risk management concepts, including governance, privacy, and emerging regulatory expectations (NIST AI, ISO/IEC 42001)
Practical experience applying AI, automation, analytics, or GRC workflow improvements to strengthen cybersecurity risk analysis, reporting, or evidence management.
Experience with privacy, data protection, or regulatory requirements such as GDPR, CCPA, NIS2, or other applicable security and compliance obligations.

Responsibilities

Lead the end‑to‑end execution of cybersecurity risk identification, assessment, prioritization, and treatment planning across enterprise systems and services
Ensure consistent application of risk frameworks and methodologies aligned to enterprise governance and regulatory expectations
Oversee control evaluation, residual risk analysis, and risk acceptance recommendations, ensuring clear rationale and alignment to risk appetite
Maintain a complete, accurate, and decision‑ready cybersecurity risk register with clear ownership, status, and evidence
Deliver management‑ready risk reporting and insights that enable informed decision‑making, prioritization, and escalation
Strengthen data quality, metrics, and reporting practices to improve visibility into enterprise risk posture
Align cybersecurity risk practices to regulatory and assurance requirements including FedRAMP, SOC, ISO 27001, and related frameworks
Translate regulatory expectations into actionable risk management practices, remediation plans, and governance controls
Support continuous monitoring and evidence readiness for audit and certification requirements
Evaluate risks associated with cloud environments, third‑party services, and AI-enabled capabilities
Contribute to AI risk governance practices, including assessment criteria, controls, and reporting mechanisms
Monitor emerging cybersecurity, AI, and regulatory developments and integrate relevant changes into the risk program
Provide technical leadership and quality oversight across risk assessment activities and outputs
Influence cross-functional stakeholders (engineering, product, legal, compliance) to ensure risks are understood, owned, and effectively addressed
Drive continuous improvement of processes, tooling, and automation to enhance risk program maturity