Senior data & ai consultant - azure platform

Description : We are looking for an experienced Senior Data & AI Consultant (8+ years) with strong expertise across the Data & AI lifecycledata 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, Open AI, Cognitive Services.Build ML & Generative AI use cases and implement MLOps (CI / CD, monitoring).Ensure Responsible AI (fairness, explainability, governance).Collaborate on full AI pipelinefrom data sourcing to deployment.4. Consulting, Pre-Sales & Leadership : Lead client workshops, Po Cs, 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 : Bachelors / Masters 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).Exposure to industries like Public Sector, BFSI, Oil & Gas, Government, Healthcare, Utilities.Technical Expertise (Any one or more) : Data Management : Azure Data Factory, Synapse, Data Lake, Databricks, Event Hubs.Strong SQL, Python, Spark.Data modeling, ETL / ELT, data quality frameworks.Knowledge of MS Fabric or open-source tools (Airflow, Kafka).Data Governance & Strategy : Familiarity with DAMA-DMBOK, CMMI-DMM.Experience with Informatica (Axon, IDQ, EDC, IDMC).Understanding of data privacy, governance operating models, stewardship.AI / ML Engineering : Python, Tensor Flow, Py Torch, Scikit-learn, Azure ML.Experience with Generative AI (LLMs, RAG, prompt engineering).Knowledge in at least 3 areas : NLP, Predictive Modeling, Computer Vision, Recommender Systems, -Anomaly Detection.Practical experience in MLOps.(ref : hirist.tech)