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, 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 pipelinefrom 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 :

- 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, 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.