Senior AI & Data Science Advisor — Strategy & Analytics

Sehati for Information Technology Services LLC; Riyadh; On-site; SAR 420,000 - 720,000; Full time

Job summary

Sehati for Information Technology Services LLC is seeking a senior technical advisor to guide AI, ML, and data science initiatives within healthcare and insurance domains. You will shape analytics strategy, review platform and model lifecycles, and collaborate with data engineering, governance, and product teams to deliver end-to-end AI solutions.

The role emphasizes translating complex business problems into technical strategy, mentoring analysts, and ensuring data readiness, quality, and

Qualifications

• 7–8+ years of AI, data science, analytics, data engineering or enterprise data platforms with independent ownership of complex work.
• Strong hands-on Python and SQL with practical ML/data science library usage.
• Solid understanding of modern AI architecture, MLOps, LLMs, embeddings, vector retrieval, and model monitoring.
• Experience translating business problems into analytical or AI solutions and communicating to technical and senior stakeholders.

Responsibilities

• Act as a senior technical advisor on AI, ML, data science, analytics, and AI-enabled data architecture.
• Support AI and data workstreams, including platform reviews, model lifecycle, data readiness, and vendor deliverables.
• Lead advanced analytics studies, proofs-of-concept, and exploratory analyses across healthcare and insurance use cases.
• Review proposals, designs, vendor submissions, architecture documents, and implementation approaches for risks and gaps.

Skills

Python

SQL

Data Science

ML Libraries

MLOps

Stakeholder Communication

Analytical Thinking

Education

Bachelor's or Master’s in CS/AI

Tools

Power BI

Tableau

ETL Tools

Job description

Sehati for Information Technology Services LLC is seeking a senior technical advisor to guide AI, ML, and data science initiatives within healthcare and insurance domains. You will shape analytics strategy, review platform and model lifecycles, and collaborate with data engineering, governance, and product teams to deliver end-to-end AI solutions.

The role emphasizes translating complex business problems into technical strategy, mentoring analysts, and ensuring data readiness, quality, and