HomoBotics Consulting Inc

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