Senior Cybersecurity Lead Analyst

Hands-on Senior Cybersecurity Lead to drive application, product, and offensive security across our cloud platforms. You will lead penetration testing, application security, and vulnerability management; embed Secure SDLC/DevSecOps with engineering; secure and govern AI-enabled capabilities; and communicate security risk clearly to technical and business stakeholders. This role sets security practices, mentors others, and raises the security posture of Platform Services.

Key Responsibilities

- Lead application & product security across internal and cloud-based apps; drive Secure SDLC / DevSecOps with engineering.

- Own penetration testing for web, API, cloud, and infrastructure – scope, test, report, track remediation, retest.

- Run vulnerability management with risk-based prioritisation (exploitability, exposure, impact, asset criticality) and remediation to closure.

- Provide cloud security guidance for AWS and/or Azure – review IAM, network, logging, encryption, and CI/CD security.

- Integrate security testing and automation into CI/CD; improve secure-coding practices and tooling.

- Secure & govern AI: control and monitor AI/LLM and AI-assisted development risk across the platform (see AI Security & Governance below).

- Review designs to catch risk early (architecture/design reviews, threat modelling).

- Lead & collaborate: mentor security staff, act as SME, and partner with Engineering, DevOps, Architecture, and Product.

- Governance: support ISO 27001 / SOC 2 controls, audits and evidence, and security metrics/reporting.

AI Security & Governance

- Establish how AI-related risk is identified, secured, and continuously monitored across AI/LLM-enabled features and AI-assisted development in Platform Services.

- Define and enforce security controls and governance for AI/LLM-enabled applications and AI-assisted development tools.

- Identify and mitigate AI-specific risks: sensitive-data and source-code exposure, prompt injection, insecure or hallucinated output, excessive tool/agent permissions, model and supply-chain risk, and IP/licensing exposure.

- Apply least-privilege access for AI tools and agents, tool allowlists, retrieval/data-loss controls, and input/output validation.

- Continuously monitor and log AI usage, prompts, and agent actions; set alerting, anomaly detection, and human-oversight/escalation for AI-driven workflows.

- Align AI usage with responsible-AI and governance frameworks (e.g., ISO/IEC 42001, NIST AI RMF) and provide evidence for audits and customer assurance.

Must Have Experience

- 8–10+ years in cybersecurity, with strong hands-on application security and penetration testing.
- Web and API security testing; solid command of OWASP Top 10 and OWASP API Security Top 10.
- Led penetration testing and vulnerability management activities end-to-end.
- Secure SDLC / DevSecOps and CI/CD security.
- AWS and/or Azure security, including cloud architecture and control reviews.
- Strong communication, stakeholder management, and technical leadership.

Preferred

- SaaS, product, or cloud-based environment experience; security automation.
- Experience securing AI/LLM-enabled applications or establishing AI governance (e.g., ISO/IEC 42001, NIST AI RMF, OWASP LLM Top 10).
- Certifications: CISSP, CISM, or CEH (equivalent hands-on pen-testing experience also considered).

Education

Bachelor's or Master's in Computer Science, Cybersecurity, IT, Engineering, or related – or equivalent experience plus recognized certifications.
Security and compliance with statutory requirements in the countries in which we operate is essential for DNV. Background checks will be conducted on all final candidates as part of the offer process, in accordance with applicable country-specific laws and practices.