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Manager / Senior Manager – Data & AI Consulting
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:
- Candidate must be bilingual (Arabic & English).
- At least 5+ years' experience 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.
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:
1. Data Strategy & Advisory-
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.
Technical Expertise (Any one or more areas):
A. 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).
B. Data Governance & Strategy:
- Familiarity with DAMA-DMBOK, CMMI-DMM.
- Experience with Informatica (Axon, IDQ, EDC, IDMC).
- Understanding of data privacy, governance operating models, stewardship.
C. AI/ML Engineering:
- Python, TensorFlow, PyTorch, 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.
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