Principal Consultant-Application Development-Business Intelligence

<p><strong>Key Responsibilities</strong></p> <p><strong>1. Strategy & Leadership</strong></p> <ul> <li>Define and execute the <strong>Enterprise BI Capability roadmap</strong>, driving standardization, automation, and innovation across the analytics ecosystem.</li> <li>Establish best practices for <strong>data modelling, reporting standardization, and self-service analytics adoption</strong>.</li> <li>Maintain strong <strong>financial governance</strong>, managing budgets, resource allocations, and ROI tracking </li> <li>Lead <strong>executive briefings and steering committee sessions</strong>, communicating progress, risks, and innovation opportunities</li> <li>Drive an <strong>innovation culture</strong> that embraces experimentation with next-gen BI tools, CoPilot experiences, and AI-assisted analytics.</li> </ul> <div>   </div> <p><strong>2. Solution Architecture & Engineering</strong></p> <ul> <li>Architect and manage scalable, secure BI and data platforms leveraging Microsoft technologies - <strong>Azure Synapse, ADLS Gen2, Databricks, and Spark</strong>.</li> <li>Design end-to-end <strong>ETL/ELT frameworks</strong>, semantic models, and performance-optimized data layers for analytical consumption.</li> <li>Lead <strong>integration of MDM and Metadata Management</strong> solutions to ensure consistency, governance, and single source of truth across data assets.</li> <li>Implement robust <strong>data lineage and governance</strong> through Microsoft Purview and Fabric-native features.</li> <li>Drive reusability and automation through <strong>parameterized pipelines, CI/CD deployment patterns, and observability dashboards</strong>.</li> </ul> <div>   </div> <p><strong>3. Business Intelligence & Data Analysis</strong></p> <ul> <li>Lead the <strong>BI Reporting & Analytics function</strong>, enabling delivery of <strong>interactive, self-service dashboards and KPI scorecards</strong> across departments.</li> <li>Oversee the design and rollout of <strong>Power BI, Fabric, and embedded analytics solutions</strong> to deliver insights on key business metrics (financial, operational, customer, and risk).</li> <li>Partner with business and functional leaders to translate analytical needs into <strong>data models, visuals, and insights</strong> that inform strategic decision-making.</li> <li>Establish a <strong>Center of Excellence (CoE)</strong> for BI visualization standards, report optimization, and data storytelling.</li> <li>Promote <strong>data literacy and self-service adoption</strong> through training, usage analytics, and continuous feedback loops.</li> <li>Leverage <strong>advanced analytics and AI-powered features</strong> (e.g., CoPilot in Power BI, cognitive search, and natural-language querying) to make analytics more intuitive and predictive.</li> </ul> <div>   </div> <p><strong>4. Delivery Management</strong></p> <ul> <li>Manage enterprise-scale BI programs end-to-end, ensuring predictable delivery, scalability, and measurable outcomes.</li> <li>Work closely with <strong>client-servicing and cross-functional teams</strong> to define SLAs, measure success metrics, and deliver business-aligned insights.</li> <li>Maintain strong <strong>financial governance</strong>, managing large budgets, resource allocations, and ROI tracking.</li> <li>Build and sustain <strong>Agile delivery models (SAFe, Scrum)</strong> to improve velocity and reduce cycle times.</li> </ul> <div>   </div> <p><strong>5. CXO & Stakeholder Engagement</strong></p> <ul> <li>Serve as a <strong>strategic data advisor</strong> to the <strong>CIO, CFO, and business unit heads</strong>, shaping the enterprise’s analytics and AI roadmap.</li> <li>Partner with business and technology stakeholders to co-create <strong>executive dashboards and insight narratives</strong> that influence key business decisions.</li> <li>Lead <strong>executive briefings and steering committee sessions</strong>, communicating progress, risks, and innovation opportunities.</li> </ul> <div>   </div> <p><strong>6. Innovation & Emerging Technology</strong></p> <ul> <li>Stay ahead of <strong>emerging trends in data, BI, and GenAI</strong>, particularly in <strong>Microsoft Fabric, Databricks Lakehouse, CoPilot for BI, and Agentic AI architectures</strong>.</li> <li>Champion <strong>AI-augmented BI</strong>, predictive reporting, and conversational analytics to enhance insight discovery.</li> <li>Drive continuous modernization through internal hackathons, accelerator programs, and cross-functional innovation initiatives.</li> </ul> <div>   </div> <p><strong>Required Skills & Experience</strong></p> <ul> <li><strong>15–18 years</strong> of experience in BI, Data Engineering, and Analytics leadership roles.</li> <li>Strong hands-on expertise in <strong>Azure Synapse Analytics, ADLS Gen2, Databricks, PySpark, Microsoft Fabric, and Power BI/Power Platform</strong>.</li> <li>Proven track record implementing <strong>MDM and Metadata Management</strong> frameworks.</li> <li>Experience with various data analytics tool, hands on experience is required in BI and data practices</li> <li>Reasonable experience of working on data of corporate functions like Finance, HR, Technology, as such</li> <li>Deep understanding of <strong>data modeling, semantic layer design, KPI frameworks, and performance optimization</strong> for BI.</li> <li>Experience in <strong>enterprise-level BI reporting</strong>, dashboard development, and <strong>data storytelling for executives</strong>.</li> <li>Demonstrated ability to <strong>engage with CXO-level stakeholders</strong> and influence strategy through data insights.</li> <li>Strong program management discipline, with a focus on <strong>delivery velocity, adoption, and cost efficiency</strong>.</li> <li>Innovative mindset with a passion for exploring <strong>AI-powered analytics and emerging technologies</strong>.</li> </ul> <div>   </div> <p><strong>Preferred Qualifications</strong></p> <ul> <li>Microsoft Certified: <strong>Fabric Data Engineer Associate</strong> or <strong>Power BI Data Analyst Associate</strong></li> <li>Databricks Certified <strong>Data Engineer / GenAI Engineer Associate</strong></li> <li>SAFe Agile, PMP, or Six Sigma Green Belt</li> <li>Exposure to <strong>CoPilot for Power BI</strong> and <strong>Agentic AI for analytics</strong> is a plus</li> </ul> <div>   </div> <p><strong>Why This Role Matters</strong></p> <p>This is a <strong>pivotal leadership role</strong> that defines how data and intelligence are delivered, consumed, and acted upon across the enterprise.<br>As the <strong>Senior AVP – Enterprise BI & Data Engineering Leader</strong>, you will build the next generation of <strong>self-service, AI-augmented BI platforms</strong>, transforming how decision-makers interact with data and accelerating the organization’s journey toward <strong>intelligent, data-driven operations</strong>.</p> <p> </p>

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