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Data & AI Consultant

at Consulting

8 - 18 yrs
₹27L - ₹35L / yr
Doha, Qatar
Skills
Data Engineering , AI, ML, Gen AI, Azure

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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