(8+ years) with strong expertise across the Data & AI lifecycle--data strategy, architecture, engineering, governance, and AI/ML. The ideal candidate must be bilingual (Arabic & English) and comfortable working in a client-facing consulting environment across multiple industries.
Key Responsibilities
1. Data Strategy & Advisory
Develop enterprise-wide Data & AI strategies and transformation roadmaps.
Assess data maturity and recommend improvements.
Conduct CXO-level workshops to align business goals with Data & AI initiatives.
Guide clients on responsible AI practices.
2. Data Architecture & Engineering
Design scalable data platforms on Microsoft Azure.
Develop data models and architect batch/real-time pipelines using ADF, Synapse, Databricks, etc.
Implement data quality, metadata, and lineage solutions (Azure Purview).
Partner with AI teams to ensure data readiness for ML/AI use cases.
3. AI & Advanced Analytics
Lead end-to-end AI/ML solution development on Azure ML, OpenAI, Cognitive Services.
Build ML & Generative AI use cases and implement MLOps (CI/CD, monitoring).
Ensure Responsible AI (fairness, explainability, governance).
Collaborate on full AI pipeline--from data sourcing to deployment.
4. Consulting, Pre-Sales & Leadership
Lead client workshops, PoCs, demos, and pre-sales engagements.
Support proposal writing and solution design.
Contribute to thought leadership (blogs, whitepapers, events).
Mentor junior consultants and support delivery excellence.
Qualifications
Education & Experience
Bachelor's/Master's in Computer Science, Data Engineering, AI, or related field.
Total years of experience should be minimum 8+ years.
Relevant 5+ years in Data/AI consulting, architecture, or strategy roles.
Strong experience in the Azure ecosystem (Azure Data Factory, Synapse, Purview, Databricks).
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Exposure to industries like Public Sector, BFSI, Oil & Gas, Government, Healthcare, Utilities.
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