Director, Cybersecurity Advisory & AI‐Enabled Delivery
HybridSydney, New South Wales, Australia or Melbourne, Victoria, Australia
Job Summary
Act as a senior point of contact for client engagements, building long-term relationships to help organizations manage cyber threats and risks. Provide outcome-focused recommendations that bridge executive stakeholders with technical delivery teams, ensuring technology decisions are commercially relevant and risk-informed. Drive market activation, client presentations, and thought leadership while defining the roadmap for AI-enabled delivery across cyber resilience offerings. Identify and shape opportunities to apply AI technologies, including agentic workflows and intelligent automation, to enhance operational efficiency and client outcomes. Sponsor and guide the use of automation to streamline delivery, clarify requirements for technical teams, and ensure solutions are scalable and maintainable. Mentor junior colleagues and contribute to internal platforms, accelerators, and knowledge bases to foster a culture of innovation.
Required Qualifications
- 8–14 years of cybersecurity experience in professional services, consulting, or senior in‐house advisory roles
- Strong understanding of how identity & access management, cloud security, endpoint protection, network security, threat intelligence, and vulnerability management capabilities contribute to cyber resilience outcomes
- Familiarity with NIST CSF, ISO 27001/27002, CIS Controls, MITRE ATT&CK, and sector‐specific guidance
- Strong appreciation of how SIEM, SOAR, EDR/XDR, threat intelligence, case management, and response tooling can be applied to improve detection, response, governance, and operational maturity
- Understanding of regulatory landscapes such as GDPR, NIS2, DORA, PCI‐DSS, or equivalents
- Ability to identify where AI, automation, and agentic workflows can create value in cyber advisory delivery, including assessing suitability, risks, controls, operating impacts, and implementation pathways
- Practical understanding of LLM capabilities, limitations, orchestration concepts, document ingestion, vector stores, grounding, and RAG patterns, with the ability to guide design choices and challenge technical approaches
- Familiarity with responsible AI principles, prompt engineering best practices, and LLM security considerations
- Familiarity with enterprise security, identity, endpoint, cloud, data protection, workflow automation, and modern cloud data platforms, including how these capabilities can be used to support cyber resilience and AI‐enabled delivery
- Sufficient technical depth to shape solution requirements, review technical options, oversee implementation teams, and make informed trade‐offs, without needing to be the primary hands‐on developer or engineer
- Strong communication skills, proven client management, business development capability, and experience mentoring and directing junior technical and advisory team members
Desired Qualifications
- CISSP, CISM, or equivalent senior qualification
- Security operations, identity, cloud, or AI‐related certifications
- SABSA, TOGAF, or similar architecture qualifications
- Penetration testing / assessment certifications
- Certifications across major cloud providers
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