24 days ago
Full TimeJunior
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Skills Gap Analyzer
Compare your skills with the requirements for Chief AI Officer and see what you need to learn
Company Description AL Wahda Go is an emerging organization focused on leveraging advanced technologies to drive innovation and operational excellence. The company is building a strong foundation in data-driven decision-making and artificial intelligence to support sustainable growth. AL Wanda Go aims to create impactful solutions for local and regional markets, with a particular focus on scalable digital products and services. Team members are encouraged to contribute ideas, collaborate across disciplines, and help shape the organization’s long-term technology strategy.
Role Description The Chief AI Officer is a full-time, on-site leadership role based in Baghdad Governorate, Iraq. This role is responsible for defining and executing the organization’s AI vision, strategy, and roadmap, ensuring alignment with overall business objectives. Day-to-day responsibilities include overseeing AI research and development, guiding the design and deployment of AI models and data platforms, and managing cross-functional teams of data scientists, machine learning engineers, and technical staff. The Chief AI Officer collaborates closely with executive leadership to identify high-impact AI use cases, establish governance and ethical AI standards, and ensure regulatory and data privacy compliance. This role also involves building strategic partnerships, managing vendor relationships, and representing the company’s AI initiatives to internal and external stakeholders.
Qualifications
* Demonstrated expertise in artificial intelligence, machine learning, and data science, including experience designing, training, and deploying production-grade models.
* Strong background in AI strategy, technology leadership, and digital transformation, with a track record of aligning AI initiatives with business goals.
* Experience building and leading high-performing technical teams, promoting inclusive collaboration, and mentoring staff across multiple disciplines.
* Solid understanding of data engineering, cloud infrastructure, and MLOps practices to ensure reliability, scalability, and security of AI systems.
* Knowledge of AI governance, ethics, and regulatory considerations, including data privacy, bias mitigation, and responsible AI frameworks.
* Excellent communication, stakeholder management, and change management skills, with the ability to translate complex technical concepts into clear business language.
* Relevant advanced degree in computer science, data science, engineering, or a related field; equivalent practical experience will also be considered.
* Experience working in emerging markets or complex operational environments is a plus; familiarity with the regional context of Iraq and the Middle East is beneficial.