Solutions Director

HCL Technologies Limited

Dadri

On-site

INR 3,000,000 - 7,000,000

Full time

14 days+

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Job summary

HCL Technologies Limited seeks a Senior SME in Microsoft Fabric to lead end-to-end data platform programs. You will architect and deploy Fabric-based solutions, drive advanced analytics, and deliver AI-powered dashboards using Power BI for enterprise decision making.

The role demands deep Fabric knowledge, strong stakeholder management, and a track record of integrating SAP systems within large data platforms.

Qualifications

  • Extensive experience leading end-to-end data platform implementations.
  • Deep expertise in Microsoft Fabric, Power BI, and SAP integrations.
  • Strong stakeholder management and enterprise data governance knowledge.

Responsibilities

  • Lead end-to-end implementation of Microsoft Fabric solutions across architecture, design, development and deployment.
  • Drive advanced analytics and AI/ML use cases for real-time insights across the enterprise.
  • Design modern data architectures using Microsoft Fabric components (Lakehouse, Warehouse, Data Factory).
  • Leverage Fabric-native AI capabilities, including data science workflows and model deployment.
  • Build and operationalize AI-powered insights and dashboards using Power BI.
  • Mentor teams on data engineering, analytics and AI best practices.

Skills

Microsoft Fabric
Power BI
Data governance
Enterprise data platforms
AI/ML capabilities
Azure AI
OpenAI services
S/4HANA integration
Stakeholder management
Data architecture
Self-service BI

Tools

SAP S/4HANA
SAP BW/BPC
SAP SuccessFactors
SAP Ariba
SAP Concur
Python
R

Job description

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
  • 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.
  • Strong experience with enterprise system integrations, especially:
  • SAP S/4HANA
  • SAP SuccessFactors
  • SAP Ariba
  • SAP Concur
  • 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
  • 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.

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026totaled $14.8billion.

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