Solutions Director

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

• Success Factors

• 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 ofAI-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.

• Strong experience with enterprise system integrations, especially:

• SAP S/4HANA

• SAP Success Factors

• 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.