Role: Manager / Senior Manager - Data & AI Consulting
Location:
Doha, Qatar
Experience:
8 to 12 Years
Annual Compensation:
QAR 276000 to 360000, USD 75,000 to USD 99,000
Mandatory Skills:
Data Governance, Data Engineering, AI/ML Engineering, Azure.
Required Qualifications
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Candidate must be bilingual (Arabic & English).
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At least 5+ years' experience in Data/AI consulting, architecture, or strategy roles.
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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.
About the Role:
We are looking for an experienced Senior Data & AI Consultant (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
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Data Strategy & Advisory-
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Develop enterprise-wide Data & AI strategies and transformation roadmaps.
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Assess data maturity and recommend improvements.
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Conduct CXO-level workshops to align business goals with Data & AI initiatives.
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Guide clients on responsible AI practices.
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Data Architecture & Engineering:
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Design scalable data platforms on Microsoft Azure.
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Develop data models and architect batch/real-time pipelines using ADF, Synapse, Databricks, etc.
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Implement data quality, metadata, and lineage solutions (Azure Purview).
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Partner with AI teams to ensure data readiness for ML/AI use cases.
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AI & Advanced Analytics:
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Lead end-to-end AI/ML solution development on Azure ML, OpenAI, Cognitive Services.
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Build ML & Generative AI use cases and implement MLOps (CI/CD, monitoring).
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Ensure Responsible AI (fairness, explainability, governance).
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Collaborate on full AI pipeline—from data sourcing to deployment.
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Consulting, Pre-Sales & Leadership:
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Lead client workshops, PoCs, demos, and pre-sales engagements.
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Support proposal writing and solution design.
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Contribute to thought leadership (blogs, whitepapers, events).
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Mentor junior consultants and support delivery excellence.
Technical Expertise (Any One Or More Areas)
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Data Management:
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Azure Data Factory, Synapse, Data Lake, Databricks, Event Hubs.
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Strong SQL, Python, Spark.
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Data modeling, ETL/ELT, data quality frameworks.
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Knowledge of MS Fabric or open-source tools (Airflow, Kafka).
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Data Governance & Strategy:
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Familiarity with DAMA-DMBOK, CMMI-DMM.
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Experience with Informatica (Axon, IDQ, EDC, IDMC).
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Understanding of data privacy, governance operating models, stewardship.
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AI/ML Engineering:
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Python, TensorFlow, PyTorch, Scikit-learn, Azure ML.
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Experience with Generative AI (LLMs, RAG, prompt engineering).
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Knowledge in at least 3 areas: NLP, Predictive Modeling, Computer Vision, Recommender Systems, Anomaly Detection.
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Practical experience in MLOps.