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The following job opportunities are available in Riyadh, Saudi Arabia. The listed summaries include key responsibilities and qualifications for each role.
Lead AI and data initiatives that optimize business processes. Design data‑driven solutions, collaborate with various teams to deliver actionable insights, and uphold AI ethics and governance standards. Requires extensive experience in data analytics and AI with strong programming skills.
Map and verify local business information and route accuracy to enhance user experience. Flexible working hours, no prior experience required. Must possess strong research skills, local Saudi Arabian knowledge, and have resided in Saudi Arabia for at least five years.
Review mapping data for digital applications to ensure accurate navigation and business information. Offers flexible working hours. Ideal candidates possess strong research skills and local knowledge of Saudi Arabia.
Drive sales growth through data‑driven insights. Responsibilities include data collection, analysis, and reporting to support marketing and sales processes, while adhering to company policies. Prefer background in sales analysis, CRM familiarity, and strong analytical and presentation skills.
Prepare and analyze reports for executive management, ensuring compliance with governance standards. Requires strong Excel skills, reporting experience, performance monitoring, and contribution to RFP documentation.
Design CI/CD pipelines, manage cloud infrastructure, and collaborate with development teams. Requires expertise in software development, IT operations, cloud platforms, and containerization technologies.
Transform education through data‑driven insights to improve student outcomes. Develop dashboards, conduct ad‑hoc analyses, and explore AI opportunities. Requires strong SQL, Tableau/Power BI, and Google Sheets skills.
Develop generative AI solutions using Retrieval‑Augmented Generation and LLMs. Build predictive models, fine‑tune LLMs, and collaborate on data workflows to deliver impactful AI‑driven solutions.
Support growth in Payments through data‑driven insights at Tamara. Develop dashboards, analyze complex datasets, and ensure rigorous analytical practices in a fast‑paced startup environment.
Lead DevOps practices, oversee tool deployment, enhance CI/CD, and develop deployment frameworks to improve platform reliability and scalability.
Build and operate secure, scalable hybrid‑cloud platforms. Manage Kubernetes clusters, create CI/CD pipelines, automate infrastructure with Terraform, and enhance observability with Prometheus and Grafana.
* Il benchmark retributivo si basa sugli obiettivi retributivi dei leader del mercato nei rispettivi settori. È pensato per orientare gli utenti Premium nella valutazione delle posizioni aperte e aiutarli a negoziare la propria retribuzione. Tale benchmark non è fornito direttamente dall'azienda, quindi la retribuzione effettiva potrà risultare anche notevolmente superiore o inferiore.