Insight International (UK) Ltd
Security AI Consultant / CISO AI Advisory / AI Cyber Tech Lead
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Role: Security AI Consultant / CISO AI Advisory / AI Cyber Tech Lead
Location: Sheffield, UK
Contract role
AI Cybersecurity
Role Purpose
We are seeking a highly skilled Technical CISO Lead to drive the design, implementation, and continuous improvement of cybersecurity architecture and engineering with a focus on AI. This role will provide deep technical leadership, ensure robust protection of information assets while enabling business innovation and operational excellence. Given the changing nature of AI capabilities and therefore controls, this role will be deeply embedded into technology teams to provide real-time cyber advice and guidance.
Advise CISO leadership and senior stakeholders on the safe, effective adoption of AI (including GenAI) across cybersecurity. You’ll shape strategy, governance, and operating models, and guide delivery teams to implement AI capabilities that improve security outcomes while meeting regulatory, privacy, and control expectations.
Key Responsibilities
- AI Security: Drive an understanding across Tech and Cyber of security controls / frameworks required for AI security, working in an iterative manner as the technologies and control landscape develop. Be an ambassador on AI security.
- Cybersecurity Architecture: Lead the development and maintenance of secure architecture frameworks for cloud, on-premises, and hybrid environments. Ensure alignment with industry standards (e.g., NIST, ISO 27001) and HSBC’s risk appetite – with a particular focus on AI.
- Technical Engineering Leadership: Oversee the engineering and integration of security controls across platforms, including identity and access management, network security, endpoint protection, and data security. Champion automation and secure-by-design principles.
- Platform Security: Drive the secure design and operation of critical technology platforms, collaborating with platform owners and engineering teams to embed security throughout the lifecycle.
- Incident Response & Threat Management: Provide technical oversight for incident response, threat detection, and vulnerability management. Lead root cause analysis and remediation of complex security incidents.
- Stakeholder Engagement: Act as a trusted advisor to technology and business leaders, translating technical risks into actionable business recommendations. Present technical topics clearly to both technical and non-technical audiences.
- Continuous Improvement: Evaluate emerging technologies and threats, recommending enhancements to security architecture and engineering practices. Foster a culture of innovation and continuous learning within the team.
- Team Leadership: Mentor and develop a high-performing team of security architects and engineers. Promote collaboration, knowledge sharing, and professional growth.
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CISO advisory & strategy
Governance, risk & Responsible AI
Secure GenAI enablement
Operating model & change
Stakeholder engagement & communication
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Required Skills / Experience
- Minimum 8 years’ experience in cybersecurity architecture, technical engineering, and platform security within large, complex organisations.
- Banking experience preferred.
- Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
- Relevant professional certifications (e.g., CISSP, CCSP, SABSA, AWS/Azure Security).
- Deep knowledge of security frameworks (e.g., NIST, ISO 27001), cloud and on-premises security, and secure software development practices.
- Proven track record in designing and implementing security controls and solutions at scale.
- Strong technical expertise in areas such as network security, identity management, cryptography, and automation.
- Experience leading technical teams and managing cross-functional projects.
- Willingness to travel as required.
- Excellent communication skills, with the ability to influence and engage stakeholders at all levels.
Desirable Skills / Experience
- Experience defining AI governance/Responsible AI frameworks and model lifecycle controls.
- Familiarity with SIEM/SOAR, EDR, cloud security, and data governance/lineage.
- Experience with adversarial ML and AI security risks (prompt injection, model inversion, data poisoning).
- Relevant certifications (nice to have): CISSP/CISM, cloud security, risk/controls, Agile.
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