Solutions Director

Experience: 20 to Not Available years

Location: Noida, India

Skills: Microsoft Fabric, Power BI, SAP S4, SAP BW, SAC, advanced analytics, AI/ML, data governance frameworks, data quality, data lineage, data compliance, data security best practices, role-based access, data protection, regulatory compliance, data agents, DAX, AI visuals, performance optimization, Python, R, machine learning frameworks, Azure AI, OpenAI, Cognitive Services, Lakehouse, Data lake, medallion, data mesh concepts, self-service BI, conversational AI, MLOps, model lifecycle management, RAG architectures, vector search, knowledge grounding, Responsible AI, model governance, ethical AI practices, real-time analytics, streaming data pipelines

Job Summary
We are seeking a highly experienced Senior SME in Microsoft Fabric to lead end-to-end data platform implementations and drive enterprise data, analytics, and AI transformation initiatives. The ideal candidate will bring deep expertise in Microsoft Fabric, Power BI, SAP S4, SAP BW- SAC, advanced analytics, and AI/ML capabilities, along with strong stakeholder management skills and experience integrating complex enterprise source systems.

Key Responsibilities
• Lead end-to-end implementation of Microsoft Fabric solutions, including architecture, design, development, and deployment.
• Drive advanced analytics and AI/ML use cases, enabling predictive, prescriptive, and real-time analytics across the organization.
• Design and implement modern data architectures using Microsoft Fabric (Lakehouse, Warehouse, Data Factory, Real-Time Analytics).
• Leverage Fabric-native AI capabilities, including:
• Data science workflows
• Machine learning model development and deployment




• Integration with Azure AI / OpenAI services
• Build and operationalize AI-powered insights and intelligent dashboards using Power BI.
• Act as a trusted advisor to business and technical stakeholders, aligning data, analytics, and AI strategies with business objectives.
• Integrate and manage data from complex enterprise systems such as:
• SAP S/4HANA
• SuccessFactors
• Ariba
• Concur
• Salesforce
• Define and implement data governance frameworks, ensuring data quality, lineage, and compliance.
• Establish and enforce data security best practices, including role-based access, data protection, and regulatory compliance.
• Enable self-service analytics and AI-driven insights for business users leveraging data agents (Copilot/M365) on top Fabric models/tables.
• Develop and optimize Power BI dashboards and semantic models, incorporating advanced analytics features.
• Mentor teams on data engineering, analytics, and AI best practices.
• Collaborate with cross-functional teams including data science, engineering, and business stakeholders.

Skill Requirements
• 20+ years of experience in data engineering, analytics, data science, or enterprise data platforms.
• Strong hands-on expertise in Microsoft Fabric, PBI.
• Proven experience in Advanced Analytics and AI/ML, including:
• Drive adoption of AI-powered Data Agents on Microsoft Fabric,



enabling conversational analytics, automated insights generation, and intelligent data interaction for business users-(Copilot/M365) on top Fabric models/tables.
• Predictive modeling, forecasting, and statistical analysis
• Machine learning frameworks and lifecycle (training, validation, deployment)
• Experience with Python/R for data science workloads
• Deep expertise in:
• Power BI (PBI) – advanced data modeling, DAX, AI visuals, performance optimization
• Data governance & security frameworks
• End-to-end data lifecycle management
• Experience leveraging AI services (Azure AI, OpenAI, Cognitive Services) within data platforms.
• Robust experience with enterprise system integrations, especially:
• SAP S/4HANA
• SAP SuccessFactors
• SAP Ariba
• SAP Concur
• Salesforce
• SAP BW/BPC
• Solid understanding of modern data architecture patterns (Lakehouse, Data lake, medallion, data mesh concepts, data shortcuts to minimize duplication of data).
• Experience enabling self-service BI, analytics, and AI adoption including conversational AI/BI models
• Excellent stakeholder management and communication skills.

Other Requirements
• Microsoft certifications (Fabric, Azure Data Scientist, Azure Data Engineer, Power BI).
• Experience in MLOps and model lifecycle management.
• Experience with RAG architectures, vector search, and knowledge grounding within Fabric.
• Knowledge of Responsible AI, model governance, and ethical AI practices.
• Familiarity with real-time analytics and streaming data pipelines.
• Experience in large-scale enterprise data & AI transformation programs.

📌 Solutions Director (Noida)
🏢 HCL Technologies
📍 Noida