Sr Expert AI & Data Science

About the Role

Sehati for Information Technology Services is seeking a Sr Expert AI & Data Science to join their team in Riyadh, Saudi Arabia. This full-time role involves providing senior technical advisory and leadership in AI, machine learning, and data science, with a focus on healthcare and insurance use cases.

Key Responsibilities

• Act as a senior technical advisor on AI, machine learning, data science, analytics, and AI-enabled data architecture, providing recommendations to management and project teams.
• Support SHIB Data & AI workstreams, including review of AI platform, model lifecycle, vector/retrieval, knowledge-layer, data architecture, and related vendor deliverables.
• Assess emerging AI technologies, architecture patterns, industry practices, and market trends, translating them into practical recommendations for Sahati.
• Lead and perform advanced analytics, data science studies, proof-of-concepts, exploratory analysis, statistical modeling, and business problem solving across healthcare and insurance use cases.
• Contribute to AI use-case design and prioritization, including predictive analytics, anomaly detection, intelligent automation, NLP/LLM use cases, decision support, and advanced reporting.
• Collaborate with data engineering and platform teams on data readiness, analytical datasets, data pipelines, structured/unstructured data, FHIR/JSON data, and integration requirements.
• Review data quality, completeness, consistency, and usability issues, supporting practical remediation and readiness activities for analytics, reporting, and AI workloads.
• Support executive and regulatory reporting, KPI analysis, analytics products, dashboards, ad-hoc studies, and evidence-based decision support where senior technical input is required.
• Review technical proposals, solution designs, vendor submissions, architecture documents, and implementation approaches, identifying risks, gaps, dependencies, and improvement actions.
• Develop clear technical and executive-ready outputs, including studies, recommendations, presentations, design notes, decision papers, and implementation guidance.
• Collaborate across data, analytics, governance, technology, product, cybersecurity, GRC, and business teams to deliver integrated end-to-end outcomes.
• Mentor analysts and technical resources, share good practices, and help raise the maturity of the broader data and AI capability.

Required Qualifications and Experience

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems, or a related field; an advanced degree is preferred.
• 7–8+ years of relevant experience across AI, data science, advanced analytics, data engineering, or enterprise data platforms, with evidence of independent ownership of complex work.
• Strong hands-on experience with Python and SQL, and practical experience with machine learning / data science libraries and workflows.
• Solid understanding of modern AI architecture and delivery practices, including model development, evaluation, deployment concepts, MLOps, LLMs, embeddings, RAG/vector retrieval, and model monitoring.
• Good understanding of data architecture and engineering foundations, including data warehouses/lakehouse concepts, ETL/ELT, APIs, data modeling, metadata, data quality, and structured/unstructured data.
• Experience translating business problems into analytical or AI solutions and communicating recommendations to both technical and senior non-technical stakeholders.
• Ability to independently research unfamiliar topics, evaluate options, challenge assumptions, and produce high-quality recommendations under time pressure.

Preferred Experience

• Experience in healthcare, health insurance, fintech, government, telecom, or other regulated / national-scale platform environments.
• Exposure to healthcare interoperability and transaction data such as FHIR/JSON, claims, eligibility, prior authorization, provider/payer data, or similar complex data domains.
• Experience with enterprise BI and analytics platforms such as Power BI, Oracle BI, Tableau, Qlik, or equivalent, with an understanding of KPI and reporting environments.
• Experience reviewing vendor architecture, consulting deliverables, technical specifications, or large transformation programs.
• Familiarity with Saudi data, privacy, AI governance, or regulatory expectations.

Work Environment

This is a full-time position based in Riyadh, Saudi Arabia, requiring 5-10 years of relevant experience.