Principal Consultant-Application Development-Business Intelligence

Key Responsibilities

• Strategy & Leadership
• Define and execute the Enterprise BI Capability roadmap, driving standardization, automation, and innovation across the analytics ecosystem.
• Establish best practices for data modelling, reporting standardization, and self-service analytics adoption.
• Maintain strong financial governance, managing budgets, resource allocations, and ROI tracking
• Lead executive briefings and steering committee sessions, communicating progress, risks, and innovation opportunities
• Drive an innovation culture that embraces experimentation with next-gen BI tools, CoPilot experiences, and AI-assisted analytics.
• Solution Architecture & Engineering
• Architect and manage scalable, secure BI and data platforms leveraging Microsoft technologies - Azure Synapse, ADLS Gen2, Databricks, and Spark.
• Design end-to-end ETL/ELT frameworks, semantic models, and performance-optimized data layers for analytical consumption.
• Lead integration of MDM and Metadata Management solutions to ensure consistency, governance, and single source of truth across data assets.
• Implement robust data lineage and governance through Microsoft Purview and Fabric-native features.
• Drive reusability and automation through parameterized pipelines, CI/CD deployment patterns, and observability dashboards.
• Business Intelligence & Data Analysis
• Lead the BI Reporting & Analytics function, enabling 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.
• Establish a Center of Excellence (CoE) for BI visualization standards, report optimization, and data storytelling.
• 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.
• Delivery Management
• Manage enterprise-scale BI programs end-to-end, ensuring predictable delivery, scalability, and measurable outcomes.
• Work closely with client-servicing and cross-functional teams to define SLAs, measure success metrics, and deliver business-aligned insights.
• Maintain strong financial governance, managing large budgets, resource allocations, and ROI tracking.
• Build and sustain Agile delivery models (SAFe, Scrum) to improve velocity and reduce cycle times.
• CXO & Stakeholder Engagement
• Serve as a strategic data advisor to the CIO, CFO, and business unit heads, shaping the enterprise’s analytics and AI roadmap.
• Partner with business and technology stakeholders to co-create executive dashboards and insight narratives that influence key business decisions.
• Lead executive briefings and steering committee sessions, communicating progress, risks, and innovation opportunities.
• Innovation & Emerging Technology
• Stay ahead of emerging trends in data, BI, and GenAI, particularly in Microsoft Fabric, Databricks Lakehouse, CoPilot for BI, and Agentic AI architectures.
• Champion AI-augmented BI, predictive reporting, and conversational analytics to enhance insight discovery.
• Drive continuous modernization through internal hackathons, accelerator programs, and cross-functional innovation initiatives.
  
  

Required Skills & Experience

• 15–18 years of experience in BI, Data Engineering, and Analytics leadership roles.
• Strong hands-on expertise in Azure Synapse Analytics, ADLS Gen2, Databricks, PySpark, Microsoft Fabric, and Power BI/Power Platform.
• Proven track record implementing MDM and Metadata Management frameworks.
• 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, as such
• 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
• SAFe Agile, PMP, or Six Sigma Green Belt
• Exposure to CoPilot for Power BI and Agentic AI for analytics is a plus
  
  

Why This Role Matters

This is a pivotal leadership role that defines how data and intelligence are delivered, consumed, and acted upon across the enterprise.

As the Senior AVP – Enterprise BI & Data Engineering Leader, you will build the next generation of self-service, AI-augmented BI platforms, transforming how decision-makers interact with data and accelerating the organization’s journey toward intelligent, data-driven operations.