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Adani Enterprises Ltd in India seeks a Deputy General Manager - Information Technology to define and execute the enterprise Data & Analytics strategy, aligning it with business goals and leading data governance, analytics, BI and AI initiatives.
You will architect cloud-native data ecosystems (Azure, Databricks), design scalable ETL pipelines, advance lakehouse platforms, drive MDM and data quality, and oversee Power BI reporting and AI/ML workstreams to deliver actionable insights for
Deputy General Manager - Information Technology Strategic Leadership Define and execute the enterprise Data & Analytics strategy aligned with business goals.
Lead the overall data roadmap covering data governance, analytics, BI, and AI initiatives.
Data Architecture & Engineering Architect and implement cloud-native data ecosystems using Microsoft Azure and Databricks.
Design and build scalable ETL/ELT data pipelines.
Develop and manage modern lakehouse architectures and enterprise data platforms.
Data Governance & Quality Establish and enforce enterprise-wide data governance frameworks and standards.
Drive Master Data Management (MDM) and data quality initiatives across business functions.
Analytics, BI & AI/ML Oversee enterprise reporting, dashboards, and insights using Power BI.
Lead AI/ML initiatives leveraging Azure ML, Vertex AI, and Databricks MLFlow.
Enable advanced analytics and predictive insights for business stakeholders.
Leadership & Team Management Build, mentor, and lead high-performing teams across data engineering, BI, data science, and data governance.
Foster a culture of innovation, continuous learning, and best practices within the data organization.
Drive and manage partner and vendor ecosystems to ensure timely and high-quality delivery.
Educational Qualification: Bachelor’s degree in engineering, Computer Science, or a related discipline.
Experience: 15–20+ years of overall IT experience.
Proven experience in Data & Analytics with at least one enterprise-grade platform implementation.
Strong expertise in Azure or GCP-based data and analytics platforms.
Desired Qualification Master’s degree or MBA preferred.
Experience Level Executive Level