Lead and manage strategy, transformation and engineering projects and teams
Design and architect AI-enabled solutions and transformations for cybersecurity organizations and functions
Innovate and enhance processes by integrating AI and machine learning capabilities
Engage with clients at senior levels to drive success and provide strategic guidance
Design and implement enterprise-wide cyber risk governance frameworks
Develop thorough business risk scenarios and create AI-powered cyber threat models
Provide industry-leading practices in AI-driven cyber risk management
Architect agentic automations to scale cybersecurity capabilities

Bachelor's Degree
At least 7 years of experience in software development and/or AI/ML engineering
Master's Degree in software development, AI/ML engineering, or another relevant technical field preferred
A minimum of 5 years of team management experience
A minimum of 1 year of experience in designing and implementing agentic and/or generative AI systems
Demonstrated knowledge of AI services in AWS or GCP, especially Google Vertex AI SDK and Amazon Bedrock/AWS Boto3
Knowledge of Python and leading AI frameworks (e.g., LangChain)
Professional certifications such as CISSP (Certified Information Systems Security Professional), CISM (Certified Information Security Manager), or CRISC (Certified in Risk and Information Systems Control), Google AI Professional Certificate, AWS Certified AI Practitioner, Solution Architect-type certificates from AWS and/or Google, AWS Certified Security – Specialty, AWS Certified Generative AI Developer – Professional, AWS Security Engineer
Experience in designing and implementing enterprise-wide cyber risk management controls
Technology sales enablement experience, especially cybersecurity solutions

Senior Manager – Cyber Strategy, Risk & Compliance, AI Engineering for Cybersecurity

Key skills