Company Overview:
Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at www.dar.com.
Our Vision and Values:
We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to:
- Excellence
- Responsibility
- Empowerment
- Connectivity
- Courage
Job Purpose:
In this role, you will help implement the ISO42001 framework in Dar offices, and will identify, evaluate, mitigate, and monitor risks arising from AI and machine learning systems throughout their lifecycle. Working with data, technology, compliance, security, privacy, and business teams, you will run AI risk assessments, maintain the AI risk register, and drive control implementation and remediation.
Responsibilities
- Support the AI GRC team in implementing ISO42001 certification across multiple office locations.
- Control & Compliance Support: Assist in translating emerging AI regulations and internal standards (ISO 42001 for AI management systems) into day-to-day controls, evidence collection, and audit readiness tasks.
- AI Risk Assessments: Support AI risk assessments, helping evaluate AI use cases against established risk appetites and documentation protocols.
- Third-party AI risk: Assess AI vendors, tools, and externally sourced models.
- Procedures: prepare and implement AI related procedures for responsible AI development and use across the organization.
- Cross-Functional Collaboration: Partner with digital, engineering, and project teams to ensure that best practices are followed and adherence to governance procedures throughout the AI lifecycle.
- Documentation & Tracking: Maintain up-to-date AI asset register, risk registers, compliance trackers, managing reviews and audit calendars to ensure transparency across multidisciplinary initiatives.
- Produce AI risk reporting, including Key Risk Indicators, incidents, and emerging risks, for leadership and governance committees.
Qualifications
- Education: Bachelor's degree in computer science, data science, Information Systems, or a related discipline.
- Experience: 1+ years of professional experience in AI engineering, risk management, compliance, information security, data governance, or a related technical/analytical field.
- Foundational Knowledge: Preferable familiarity or exposure to AI governance frameworks and standards (such as ISO/IEC 42001).
- Technical Mindset: Knowledge of AI and machine learning concepts and lifecycle.
- Communication & Organization: Excellent organizational skills, meticulous attention to detail, and clear written communication for cross-team coordination.
Required Skills
- AI governance frameworks
- Risk management
- Compliance
- Information security
- Data governance
Preferred Skills
- Exposure to ISO/IEC 42001
- Knowledge of AI and machine learning concepts
Equal Opportunity Statement
While we carefully review all applications, only candidates who meet the specified requirements will be contacted for further consideration. We appreciate your understanding and thank you for your interest.
