Deputy General Manager - Information Technology
Adani- Location
- Ahmedabad, Gujarat, India
- Workplace
- —
- Employment
- Full Time
- Salary
- —
Posted 11d ago
- 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.
Skills
- Employee Development
- Entrepreneurial Mind-set
- Innovation Focus
- Outcome Orientation
- Stakeholder Partnering
- Strategic Orientation
- Team Orientation
- Transformation Mind-set
- Analytics, BI (Power BI) & AI/ML Platforms
- Cloud-native Data Platforms & Lakehouse Architecture
- Data Architecture & Engineering (Azure, Databricks)
- Data Governance, MDM & Data Quality
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