Hello
Hope you are doing great
We have an Urgent & high-priority global opening with a leading consulting organization in Qatar. Immediate interview slots available. We are looking for a Senior Data & AI Consultant with strong Azure expertise to work in a highly client-facing consulting role.
🔹 Quick Role Overview
- Role: Senior Data & AI Consultant
- Location: Doha, Qatar (Onsite)
- Employment Type: Full-time
- Travel: GCC travel required
- Experience Required: 8+ years
- Domain: Data Strategy, Data Engineering, AI/ML, Consulting
- Industry Exposure: Public Sector, BFSI, Oil & Gas, Government, Healthcare, Utilities
📌 Role Summary
The Senior Data & AI Consultant will play a critical role in driving enterprise Data & AI transformations across clients. This role blends data strategy, architecture, engineering, governance, and AI/ML delivery with strong consulting, stakeholder management, and pre-sales responsibilities.
You will work closely with CXOs, business leaders, and technical teams to design scalable Azure-based data platforms, develop advanced analytics and AI solutions, and guide organizations on responsible AI adoption.
🎯 Key Responsibilities
1. Data Strategy & Advisory
- Develop enterprise-wide Data & AI strategies and transformation roadmaps
- Perform data maturity assessments and define improvement plans
- Lead CXO-level workshops aligning business goals with Data & AI initiatives
- Guide clients on responsible and ethical AI practices
2. Data Architecture & Engineering
- Design scalable data platforms on Microsoft Azure
- Architect and implement batch and real-time pipelines using ADF, Synapse, Databricks, Event Hubs
- Build enterprise data models and modern lakehouse architectures
- Implement data quality, metadata, and lineage solutions using 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 using Azure ML, OpenAI, Cognitive Services
- Build ML and Generative AI solutions (LLMs, RAG, prompt engineering)
- Implement MLOps practices (CI/CD, deployment, monitoring, governance)
- Ensure Responsible AI – explainability, fairness, and compliance
- Collaborate across the full AI lifecycle: data sourcing → modeling → deployment
4. Consulting, Pre-Sales & Leadership
- Lead client workshops, PoCs, demos, and discovery sessions
- Support proposal development and solution architecture design
- Contribute to thought leadership (blogs, whitepapers, events)
- Mentor junior consultants and ensure delivery excellence
🧠 Desired Skills & Competencies
✅ Must-Have
- 8+ years of experience across Data, Analytics, and/or AI roles
- Strong hands-on experience in the Azure ecosystem
- Proven consulting and client-facing experience
- Exposure to at least one specialization:
- Data Management
- Data Governance
- AI/ML Engineering
🔧 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
- Exposure to Microsoft Fabric / Airflow / Kafka
B. Data Governance & Strategy
- Knowledge of DAMA-DMBOK, CMMI-DMM
- Experience with Informatica (Axon, IDQ, EDC, IDMC)
- Governance operating models, stewardship, privacy frameworks
C. AI/ML Engineering
- Python, TensorFlow, PyTorch, Scikit-learn, Azure ML
- Generative AI, LLMs, RAG pipelines
- Experience in at least 3 domains: NLP, CV, predictive modeling, recommender systems, anomaly detection
- Strong MLOps exposure
🤝 Consulting & Leadership Skills
- Excellent stakeholder and CXO communication
- Strong problem-solving and business translation skills
- Workshop facilitation, proposal writing, client presentations
- Mentoring and technical leadership capabilities
🎓 Education & Certifications
Required Qualification:
- BCA / B.Sc. (Computer Science) / B.E. / B.Tech
- MCA / M.E. / M.Tech
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