Cybersecurity & Technology Audit Leader

You might thrive in this role if you have:

• 12-15+ years of relevant experience in cybersecurity, technology audit, technology risk, security engineering, data risk, cloud security, or a related field.
• Strong technical expertise across several areas, such as cloud platforms, identity and access management, application security, infrastructure, networks, vulnerability management, incident response, security operations, data platforms, or software development.
• Strong knowledge of data architecture, provenance, lineage, quality, governance, access, and analytics, including the risks associated with using data in AI systems.
• Knowledge of AI and machine-learning risks, along with experience using data analytics, scripting, automation, or AI-assisted techniques—or a demonstrated ability to develop these capabilities quickly.
• The ability to understand complex systems, ask incisive questions, evaluate incomplete information, and reach well-supported conclusions with sound judgment.
• The confidence to challenge constructively and a business-enabling mindset that balances innovation, speed, business impact, and risk.
• Strong communication and relationship-building skills, including the ability to explain complex technical issues to executives and work effectively with technology leaders, engineers, risk professionals, and senior management.
• Comfort operating in a fast-paced, evolving environment, with the initiative, curiosity, and adaptability to help build a new team and capability.
• A bachelor’s degree in cybersecurity, computer science, information systems, engineering, data science, accounting, or a related discipline—or equivalent practical experience.
• Relevant certifications, such as CISSP, CISA, CISM, CRISC, CCSP, cloud-provider certifications, or data and AI credentials are valued but not required.

You might thrive in this role if you have:

• 12-15+ years of relevant experience in cybersecurity, technology audit, technology risk, security engineering, data risk, cloud security, or a related field.
• Strong technical expertise across several areas, such as cloud platforms, identity and access management, application security, infrastructure, networks, vulnerability management, incident response, security operations, data platforms, or software development.
• Strong knowledge of data architecture, provenance, lineage, quality, governance, access, and analytics, including the risks associated with using data in AI systems.
• Knowledge of AI and machine-learning risks, along with experience using data analytics, scripting, automation, or AI-assisted techniques—or a demonstrated ability to develop these capabilities quickly.
• The ability to understand complex systems, ask incisive questions, evaluate incomplete information, and reach well-supported conclusions with sound judgment.
• The confidence to challenge constructively and a business-enabling mindset that balances innovation, speed, business impact, and risk.
• Strong communication and relationship-building skills, including the ability to explain complex technical issues to executives and work effectively with technology leaders, engineers, risk professionals, and senior management.
• Comfort operating in a fast-paced, evolving environment, with the initiative, curiosity, and adaptability to help build a new team and capability.
• A bachelor’s degree in cybersecurity, computer science, information systems, engineering, data science, accounting, or a related discipline—or equivalent practical experience.
• Relevant certifications, such as CISSP, CISA, CISM, CRISC, CCSP, cloud-provider certifications, or data and AI credentials are valued but not required.