Senior Officer, AI Cloud and Security
About the role
The International Federation of Red Cross and Red Crescent Societies (IFRC) is the world’s largest humanitarian network, with 191 member National Red Cross and Red Crescent Societies. The IFRC uses the Triple R – response, resilience and respect – to deliver on Strategy 2030. The Digital Transformation Department (DTD) has full leadership responsibility for the implementation of the digital transformation strategy and the positive impact it will have on the 191 National Society members of the IFRC.
Background to the position
In virtually all countries, people increasingly rely on and expect a diverse range of digital services to interact with local government, companies, and community organizations and services. The need for a successful and large-scale digital transformation is urgent. The IFRC recently developed a Digital Transformation Strategy which was approved by the IFRC Governing Board in May 2021.
Job Purpose
The Senior AI Cloud and Security Officer is responsible for designing, deploying, and monitoring AI systems that adhere to organizational policies and global best practices. This includes managing Microsoft Purview’s Data Security Posture Management (DSPM), securing AI/ML data pipelines, and enhancing the organization’s cloud security posture.
Responsibilities
- Oversee organizational AI platforms for development, testing, and production environments.
- Implement best practices for AI lifecycle management, including model deployment, monitoring, and retirement.
- Review AI applications to ensure compliance with organizational policies, ethical AI principles, and regulatory requirements.
- Lead risk assessments and mitigation strategies for AI/ML systems and sensitive data.
- Contribute to threat-modeling and incident response planning for AI-related risks.
- Establish and maintain data lineage tracking for AI models to ensure transparency and compliance.
- Collaborate with data scientists, developers, and compliance teams to enforce secure data governance.
- Design and implement automated DSPM workflows using Microsoft Purview and Azure-native tools.
- Develop and maintain security automation scripts and integrations (e.g., PowerShell, Python, Logic Apps).
- Monitor and optimize Azure security controls including Defender for Cloud, Sentinel, and Key Vault.
- Ensure proper configuration of identity and access management for AI workloads.
- Stay updated on emerging AI security trends, frameworks, and regulatory changes.
- Advise leadership on strategic AI security initiatives and risk posture improvements.
- Act as a main point of reference to support staff of all levels in understanding current practices and systems.
Requirements
- Degree in computer science, information security, data science, or related field.
- Certifications for Azure Security Engineer, Certified Information Systems Security Professional – CISSP or similar (highly desirable).
- 7+ years of experience in AI/ML development and deployment.
- 5+ years in cloud security and data governance roles, preferably in large-scale or global organizations.
- Demonstrated experience in implementing AI security frameworks and compliance standards.
- Expertise in AI model lifecycle management and MLOps.
- Experience with generative AI, large language models (LLMs), and prompt engineering.
Skills and Languages
- Expert-level proficiency in Azure environments.
- Technical Excellence: Deep knowledge of secure coding practices and vulnerability management.
- Proficiency in automation and orchestration tools for security workflows.
- Problem-Solving: Ability to break down complex challenges into solvable problems.
- Communication: Skill in translating technical findings to non-technical stakeholders.
- Collaboration: Ability to work effectively across data science, engineering, and business teams.
- Continuous Learning: Drive to stay current with rapid cloud security and AI field evolution.
- Attention to Detail: Precision in code quality, data validation, and model documentation.
- Fluent spoken and written English.
Qualifications
- Understanding of humanitarian context, operational challenges, and impact measurement.
- Familiarity with agile development practices and iterative model improvement.
- Good command of another IFRC official language (French, Spanish or Arabic).
Values and Competencies
Values: Respect for diversity; Integrity; Professionalism; Accountability. Core competencies: Communication; Collaboration and teamwork; Judgement and decision making; National society and customer relations; Creativity and innovation; Building trust.