Job Description

We are seeking an experienced analytical professional to shape and scale enterprise-wide data and analytics capabilities built on the Microsoft ecosystem. This role blends strategic data leadership, solution architecture, and hands-on delivery to enable trusted, real-time insights and GenAI-ready BI experiences in Microsoft eco system ( Azure Synapse, ADLS Gen2, Microsoft Fabric, and Power Platform, Databricks, Spark)

Key Responsibilities

1. Strategy & Leadership

• Define and execute the data and analytics roadmap, aligning with business goals and digital transformation initiatives.

• Drive innovation culture, embracing AI-assisted analytics and next-gen BI tools
• Strong communication skills and stakeholder management, communicating progress, risks, and innovation opportunities

• Establish best practices for data modelling, reporting standardization, and self-service analytics adoption

• Managing team of data scientists, engineers, and analysts to deliver impactful analytical solutions.

2. 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.
• Implement robust data lineage and governance through Microsoft Purview and Fabric-native features.
• Design and manage secure, high-performance solutions using Azure Synapse, ADLS Gen2, Databricks, and Microsoft Fabric
• Architecture Design: Creating detailed blueprints for end-to-end data platforms, including data lakes (ADLS Gen2), data warehouses (Azure Synapse Analytics), and real-time processing environments.
• Data Strategy & Modeling: Defining data transformation roadmaps and developing complex semantic models, dimensional models, or data marts (Star/Snowflake schemas) to support reporting.
• Pipeline Orchestration: Designing scalable ETL/ELT pipelines using Azure Data Factory and Azure Synapse to move data from various sources into the cloud environment.
• BI Visualization: Overseeing the architecture of Power BI or Microsoft Fabric ecosystems, ensuring reports are high-performing, secure, and user-friendly.

• Drive reusability and automation through parameterized pipelines, CI/CD deployment patterns, and observability dashboards
• Establish robust data governance, lineage, and compliance frameworks

3. Business Intelligence & Data Analysis

• Support 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.
• 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. Delivery Management

• Handle Enterprise BI programs ensuring predictable delivery, scalability, and measurable outcomes.
• 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
• Maintain compliance with data security, privacy, and regulatory standards across all analytics solutions

• Work closely with SI Partners and cross-functional teams to define SLAs, measure success metrics, and deliver business-aligned insights.

5. CXO & Stakeholder Engagement

• Build and maintain strong relationships with key stakeholders to align analytics strategy with business priorities.
• 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

6. 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

• 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
• SAFe Agile, PMP, CSM, PSM preferred
• Exposure to CoPilot for Power BI and Agentic AI for analytics is a plus

Why This Role Matters

The AVP – Data Analytics is a leadership role responsible for driving data strategy, advanced analytics, and digital transformation initiatives across the organization. This position combines strategic vision with hands-on execution to deliver scalable, secure, and impactful analytics solutions that enable data-driven decision-making for internal stakeholders.

Key Responsibilities

1. Strategy & Leadership

• Define and execute the data and analytics roadmap, aligning with business goals and digital transformation initiatives.

• Drive innovation culture, embracing AI-assisted analytics and next-gen BI tools
• Strong communication skills and stakeholder management, communicating progress, risks, and innovation opportunities

• Establish best practices for data modelling, reporting standardization, and self-service analytics adoption

• Managing team of data scientists, engineers, and analysts to deliver impactful analytical solutions.

Preferred Qualifications

• Microsoft Certified: Fabric Data Engineer Associate or Power BI Data Analyst Associate
• Databricks Certified Data Engineer / GenAI Engineer Associate
• SAFe Agile, PMP, CSM, PSM preferred
• Exposure to CoPilot for Power BI and Agentic AI for analytics is a plus