This is a remote position.
Role Overview
Job Title: Senior AI Cloud and Security Officer
Department: Digital Transformation Department (DTD)
Reporting To: Manager – AI & Data
Technical Reporting: Team Leader – Infrastructure & Security
Location: Global (as per IFRC office locations)
Organizational Context
The International Federation of Red Cross and Red Crescent Societies (IFRC) is the world’s largest humanitarian network, operating through 191 National Societies. IFRC supports vulnerable populations globally through disaster response, health services, and community resilience programs.
The Digital Transformation Department (DTD) leads digital innovation, enabling data-driven and AI-powered transformation across the organization.
The AI & Data Unit is responsible for:
Data and AI strategy
Data governance and platform management
AI enablement and lifecycle management
Advanced analytics and innovation
Role Purpose
The Senior AI Cloud and Security Officer is responsible for designing, securing, and managing AI platforms and cloud environments, ensuring compliance with organizational policies, ethical AI standards, and global regulations.
This role focuses on AI security, cloud security, and governance, working closely with cross-functional teams to ensure secure, scalable, and compliant AI/ML solutions across the organization.
Key Responsibilities
1. AI Platform Management
Oversee AI platforms across development, testing, and production environments
Implement best practices for AI lifecycle management (MLOps) including deployment, monitoring, and retirement
Ensure scalability, reliability, and performance of AI systems
2. Security & Compliance
Review AI applications for compliance with organizational policies and ethical AI principles
Conduct risk assessments and define mitigation strategies for AI/ML systems
Contribute to threat modeling and incident response planning for AI risks
Ensure adherence to global regulatory requirements
3. Data Governance & Lineage
Establish and maintain data lineage tracking for AI models
Ensure transparency, traceability, and compliance in data usage
Collaborate with data governance, engineering, and compliance teams
Enforce secure data governance practices across AI workflows
4. Automation & Integration
Design and implement automated workflows using Microsoft Purview DSPM and Azure tools
Develop automation scripts using Python, PowerShell, Logic Apps
Integrate security controls into AI and data pipelines
5. Cloud Security Management
Monitor and optimize Azure security services (Defender for Cloud, Sentinel, Key Vault)
Manage identity and access controls for AI workloads (IAM, RBAC)
Ensure secure configuration of cloud infrastructure and services
Strengthen overall cloud security posture
6. Innovation & Advisory
Stay updated on AI security trends, frameworks, and regulations
Advise leadership on AI security strategy and risk posture
Act as a subject matter expert for AI security across the organization
Support teams in understanding best practices and tools
Qualifications
Education
Bachelor’s or Master’s degree in Computer Science, Information Security, Data Science, or related field
Certifications (Preferred)
Azure Security Engineer
CISSP (Certified Information Systems Security Professional) or equivalent
Cloud security or AI governance certifications
Experience
7+ years of experience in AI/ML development and deployment
5+ years of experience in cloud security and data governance
Proven experience implementing AI security frameworks and compliance standards
Strong experience with MLOps and AI lifecycle management
Experience with Generative AI, LLMs, and prompt engineering
Hands-on experience with Microsoft Azure and Microsoft Purview
Experience working in global or enterprise environments (preferred)
Technical Skills
Microsoft Azure (Defender, Sentinel, Key Vault, IAM)
Microsoft Purview (DSPM, data governance, lineage)
AI/ML platforms and MLOps frameworks
Cloud security architecture and best practices
Automation tools (Python, PowerShell, Azure CLI, Logic Apps)
Data security, encryption, and privacy controls
Identity and access management (IAM, RBAC)
Threat modeling and vulnerability management
Core Competencies
Strong analytical and problem-solving skills
Ability to translate complex technical concepts to non-technical stakeholders
Cross-functional collaboration and stakeholder management
Attention to detail and security-focused mindset
Continuous learning and adaptability in evolving AI landscape
Strategic thinking and advisory capability
Languages
Fluent English (mandatory)
Additional language (French, Spanish, or Arabic) – preferred
Competencies Framework
Values:
Integrity
Professionalism
Accountability
Respect for diversity
Core Competencies:
Communication
Collaboration & teamwork
Decision-making and judgment
Creativity and innovation
Building trust
Functional Competencies:
Strategic orientation
Leadership and influence
Building partnerships
Empowering teams