AI Cybersecurity Governance Specialist

DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modelling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.

DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors—with a deep-rooted expertise in Financial Services and Banking—to bridge the gap between complex data and actionable business strategy.

At DeepLight, we dont believe in "off-the-shelf" fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.

The AI Cybersecurity Governance Specialist is a senior policy and risk management position within Deeplight consultancy, embedded directly within a major banking client. The role is responsible for designing, defining, and embedding enterprise-wide governance frameworks specifically built to manage cybersecurity risks associated with Artificial Intelligence and Machine Learning systems. Serving as a foundational link between corporate risk policy, regulatory mandates, and technical execution, this position ensures that the banks AI deployments are secure, compliant, and ethically governed, while maintaining Deeplights benchmark for professional excellence.

Your responsibilities in this role include:

• Framework Definition: Establish, update, and maintain the banks AI cybersecurity governance frameworks, policies, and operational guardrails
• Risk Lifecycle Management: Define the processes for identifying, assessing, and registering cybersecurity risks unique to AI models, training data pipelines, and third-party AI integrations
• Regulatory Compliance: Monitor and interpret emerging regional and global AI and financial regulations (e.g., EU AI Act, local central bank guidelines) to ensure internal security policies remain fully aligned
• Cross-Functional Alignment: Collaborate with AI developers, MLOps engineers, legal counsel, and data privacy officers to ensure governance requirements are integrated without unnecessarily hindering innovation
• Executive & Committee Reporting: Design and present comprehensive AI risk posture dashboards, policy exceptions, and compliance metrics to the banks risk committees and senior executive leadership
• Strategic Delivery: Act as a champion for secure AI adoption across the institution, modelling high professional standards and institutional accountability across all client engagements
  
  

• AI Risk Governance: Expert knowledge of AI-specific risk landscapes, including model vulnerabilities (e.g., data poisoning, prompt injection, model extraction) and ethical AI governance concepts
• Cybersecurity Frameworks: Deep proficiency in traditional and emerging cybersecurity and governance frameworks (e.g., NIST AI RMF, ISO/IEC 42001, MITRE ATLAS, COBIT)
• Regulatory Interpretation: Ability to translate complex regulatory documents and compliance obligations into practical, enforceable corporate policies
• Executive Communication: Exceptional verbal and written communication skills, with a proven ability to defend policy decisions to senior bank executives and regulatory auditors
• Strategic Diplomacy: Capacity to manage conflicting priorities between technical data science teams focused on velocity and risk teams focused on control
• Professional Tenure: Minimum of 6 years in cybersecurity governance, risk management, or compliance (GRC), with at least 2 years explicitly focused on emerging technologies, advanced data architectures, or AI/ML systems
• Financial Services Context: Documented experience designing policy or governance structures within a regulated tier-1 or tier-2 financial institution or highly regulated corporate environment
• Consulting Delivery: Prior experience in a client-facing professional services or consultancy capacity, managing executive-level relationships and delivery timelines
• Policy Crafting: Proven track record of drafting enterprise-grade technical policies, standards, and procedures that have successfully passed formal internal or external audits
  
  

• Professional Certifications: Relevant designations such as CRISC, CGEIT, CISA, CISSP, or specialized credentials in AI ethics, data governance, and cloud security
• Technical Familiarity: Conceptual understanding of the machine learning lifecycle, cloud-native environments (AWS/Azure), and data lineage structures
• Risk Quantification: Experience utilizing advanced risk quantification methodologies (e.g., FAIR framework) to estimate the financial impact of AI security failures
  
  

• Competitive salary
• Comprehensive personal health insurance
• Visa Sponsorship for the successful individual
• Professional development and certification support
• Subscription reimbursement relating to your role
• Opportunity to work on cutting-edge AI projects
• Monthly Employee Incentive program
• Career advancement opportunities in a rapidly growing AI company