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 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. 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. 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. 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) 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, 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.