Senior Consultant at EXL Talent Acquisition Team
Noida, Uttar Pradesh, India -
Full Time


Start Date

Immediate

Expiry Date

18 Sep, 26

Salary

0.0

Posted On

20 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Azure Synapse, ADLS Gen2, Microsoft Fabric, Power BI, Databricks, PySpark, Data Engineering, Business Intelligence, Stakeholder Management, Solution Architecture, ETL/ELT Frameworks, Data Modeling, GenAI, Program Management, KPI Frameworks, Data Storytelling

Industry

Business Consulting and Services

Description
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 enterprise BI operations and delivery governance while managing scalable data platforms using the Microsoft ecosystem. Partner with CXO-level stakeholders to translate complex data insights into strategic business recommendations and drive AI-powered analytics innovation.
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