Leader Cyber Security

Role & responsibilities

• Person will be responsible for Artificial Intelligence security strategy across - Artificial Intelligence use Cases.
• Will be contributing to Build secured Artificial Intelligence architecture solutions that will be implemented by hundreds of data scientists, data engineers and Artificial Intelligence engineers to deliver sustainable Artificial Intelligence solutions.
• This role will work closely with Artificial Intelligence Solution Architect, Risk Leader, product engineering team and end users to define the best-in-class cyber security standards and architecture for organization's Artificial Intelligence solutions.
• Guide and support Artificial Intelligence initiatives around Artificial Intelligence Cyber security
• Work hand-in-hand with the Solution Architect, Data engineering team and Data Scientist to define cybersecurity posture of the Artificial Intelligence solutions including vulnerability management, endpoint protection, SIEM, FIM, IDS/IPS, incident response, and network security

Preferred candidate profile

• Masters degree in computer science, cybersecurity
• 10+ years of cybersecurity experience with at least 5 years of proven technical leadership
• Ability to work in complex matrix environment.
• Proactiveness and Strong written and verbal communication skills to effectively communicate security principles, policies and procedures at a level appropriate for technical and non-technical audiences.
• Have strong organizational skills
• Have the ability to handle and to maintain confidential information.
• Strong communication skills - verbal and written.
• Good understanding of enterprise business processes
• Deep understanding of public cloud technologies like: Azure, AWS
• Experience with AI and ML technology and services (Machine Learning, Robotic Process Automation, Conversational AI, Natural Language Processing, Computer Vision)
• Deep understanding of data architecture and data privacy
• Experience with Agile and/or SaFe practices
• Public Cloud like: AWS, Azure
• Technologies: Databricks, Edge Computing
• Experience with Containerization (AKS, EKS), GitHub

Perks and benefits

This role offers significant learning and growth opportunities in Artificial Intelligence space.