Senior Consultant

1. Delivery & Operations Management

• Oversee delivery governance frameworks, ensuring adherence to best practices and internal stakeholders commitments
• Supporting the Ent BI Operations and ensuring the SLA’s are met within defined timelines
• Work closely with SI Partners and cross-functional teams to define SLAs, measure success metrics, and deliver business-aligned insights.
• Handling internal team members and SI Partners
• Ensure the enhancements and strategic projects are delivered timely 
• Maintain compliance with data security, privacy, and regulatory standards across all analytics solutions

 

2. Solution Architecture & Engineering

• Manage scalable, secure BI and data platforms leveraging Microsoft technologies - Azure Synapse, ADLS Gen2 and Spark.
• Ensured best practicers are followed in  ETL/ELT frameworks, semantic models, and performance-optimized data layers for analytical consumption.

 3. Business Intelligence & Data Analysis

• Support the BI Reporting & Analytics function, enabling delivery of interactive, self-service dashboards and KPI scorecards across departments.
• Partner with business and functional leaders to translate analytical needs into data models, visuals, and insights that inform strategic decision-making.
• Promote data literacy and self-service adoption through training, usage analytics, and continuous feedback loops.
• Leverage advanced analytics and AI-powered features (e.g., CoPilot in Power BI, cognitive search, and natural-language querying) to make analytics more intuitive and predictive.

 

4. CXO & Stakeholder Engagement

•  Build and maintain strong relationships with key stakeholders to align analytics strategy with business priorities and Act as a trusted advisor, translating complex data insights into actionable business recommendations. 
• Ensure stakeholder buy-in for enterprise data initiatives and foster collaboration across functions

 

5. Innovation & Emerging Technology

• Stay ahead of emerging trends in data, BI, and GenAI, particularly in Microsoft Synapse, Databricks Lakehouse, CoPilot for BI, and Agentic AI architectures.
• Drive continuous modernization through internal hackathons, accelerator programs, and cross-functional innovation initiatives.

Responsibilities

• • Oversee delivery governance frameworks, ensuring adherence to best practices and client commitments
  • Supporting the Ent BI Operations and ensuring the SLA’s are met within defined timelines
  • Work closely with SI Partners and cross-functional teams to define SLAs, measure success metrics, and deliver business-aligned insights.
  • Maintain compliance with data security, privacy, and regulatory standards across all analytics solutions
  • Support and enable delivery of interactive, self-service dashboards and KPI scorecards across departments.
  • Oversee the design and rollout of Power BI, Fabric, and embedded analytics solutions to deliver insights on key business metrics (financial, operational, customer, and risk).
  • Partner with business and functional leaders to translate analytical needs into data models, visuals, and insights that inform strategic decision-making.

Qualifications

• • 12–15 years of experience in BI, Data Engineering, and Analytics leadership roles. B.Tech specialized in IT  
  • Strong hands-on expertise in Azure Synapse Analytics, ADLS Gen2, Databricks, PySpark, Microsoft Fabric, and Power BI/Power Platform.
  • Experience with various data analytics tool, hands on experience is required in BI and data practices
  • Reasonable experience of working on data of corporate functions like Finance, HR, Technology
  • Deep understanding of data modeling, semantic layer design, KPI frameworks, and performance optimization for BI.
  • Experience in enterprise-level BI reporting, dashboard development, and data storytelling for executives.
  • Demonstrated ability to engage with CXO-level stakeholders and influence strategy through data insights.
  • Strong program management discipline, with a focus on delivery velocity, adoption, and cost efficiency.
  • Innovative mindset with a passion for exploring AI-powered analytics and emerging technologies.
   

  Preferred Qualifications

  • Microsoft Certified: Fabric Data Engineer Associate or Power BI Data Analyst Associate

  • Databricks Certified Data Engineer / GenAI Engineer Associate