Are you a strategic data leader who can build a modern enterprise data organization, define data strategy, and deliver transformational analytics across a complex higher education ecosystem?
We are seeking a Head of Data & Analytics to lead the development and execution of GEDU’s enterprise-wide data strategy. This executive leadership role is responsible for establishing a centralized data platform, creating a single source of truth across the organization, enabling advanced analytics and AI capabilities, and fostering a culture of data-driven decision-making across multiple institutions.
The ideal candidate combines deep expertise in data architecture, cloud platforms, data warehousing, analytics, governance, higher education systems, and organizational leadership with a proven ability to drive enterprise transformation.
Key Responsibilities
Strategic Data Leadership
- Define and execute the GEDU Group Data & Analytics Strategy.
- Align data initiatives with academic, operational, and organizational objectives.
- Establish a long-term roadmap for enterprise data management and analytics.
- Promote data-driven decision-making throughout the organization.
- Serve as the executive sponsor for data modernization initiatives.
Strategic Focus Areas
- Enterprise Data Strategy
- Digital Transformation
- Analytics Enablement
- Data-Driven Culture
- Institutional Performance
Enterprise Data Architecture
- Define and govern the GEDU Group Data Architecture.
- Establish a scalable and integrated enterprise data ecosystem.
- Ensure seamless data integration across institutions and business functions.
- Create architecture standards and best practices.
- Drive consistency across disparate business systems.
Core Domains
- Student Data
- Academic Operations
- Finance
- Human Resources
- Marketing
- Alumni Engagement
Data Warehouse Leadership
- Lead the design and implementation of the GEDU Enterprise Data Warehouse.
- Create a centralized "single source of truth" for institutional data.
- Consolidate information from multiple systems into unified reporting structures.
- Ensure scalability, reliability, and performance of the platform.
- Enable trusted enterprise reporting and analytics.
Cloud Data Platform Engineering
- Lead implementation of a up-to-date cloud-based analytics platform.
- Define enterprise data platform standards and architecture.
- Drive adoption of cloud-native analytics technologies.
Preferred Technology Stack
- Microsoft Azure
- Azure Synapse Analytics
- Azure Data Factory
- Power BI
- Modern Data Lake Architecture
Responsibilities
- Cloud Data Architecture
- Data Platform Governance
- Data Integration
- Data Engineering Standards
- Platform Modernization
Data Integration & Pipeline Development
- Build enterprise-scale data ingestion and transformation capabilities.
- Oversee development of automated data pipelines.
- Integrate institutional systems into a unified ecosystem.
- Ensure reliable movement, transformation, and harmonization of data.
- Develop a centralized analytics framework across GEDU.
- Establish standard KPIs and institutional performance measures.
- Deliver executive dashboards and performance scorecards.
- Improve visibility into academic and operational performance.
- Support strategic planning through analytics.
Self-Service Analytics
- Enable business users to independently access trusted data.
- Build scalable self-service reporting capabilities.
- Reduce dependency on manual reporting requests.
- Promote widespread analytics adoption.
- Improve organizational data literacy.
Platforms
- Power BI
- Self-Service Reporting Tools
- Executive Dashboards
- Institutional Analytics Portals
Advanced Analytics & AI
- Introduce predictive and AI-driven decision-support solutions.
- Develop advanced models that improve educational outcomes.
- Support institutional forecasting and planning efforts.
- Establish GEDU's Data Governance Framework.
- Define:
- Data Ownership
- Data Stewardship
- Policies
- Standards
- Accountability Models
- Create governance councils and operating processes.
- Ensure consistency across institutions.
Data Quality Management
- Implement enterprise-wide data quality controls.
- Define standards for:
- Accuracy
- Completeness
- Consistency
- Timeliness
- Establish monitoring and remediation processes.
- Improve confidence in institutional reporting.
Compliance & Privacy
- Ensure compliance with:
- GDPR
- Data Protection Regulations
- Educational Sector Requirements
- Information Security Standards
- Support responsible management of student and institutional data.
- Minimize compliance and privacy risks.
Metadata & Stewardship
- Establish metadata management frameworks.
- Implement data catalog and lineage capabilities.
- Promote effective data stewardship.
- Improve transparency around data assets and definitions.
Leadership & Organization Development
Team Leadership
- Build and lead a centralized Data & Analytics organization.
- Recruit, develop, and retain high-performing talent.
- Define team structures and operating models.
Potential Team Functions
- Data Architecture
- Data Engineering
- Business Intelligence
- Analytics
- Data Governance
- Data Science
- Align business needs with enterprise standards.
- Balance local requirements and global consistency.
- Drive adoption of enterprise data practices.
- Support organizational change initiatives.
Vendor & Partner Management
- Manage strategic relationships with:
- Technology Vendors
- System Integrators
- Analytics Partners
- Managed Service Providers
- Ensure successful delivery of data transformation initiatives.
- Oversee external engagement and performance management.
Qualifications
Education
Required
Bachelor's or Master's Degree in:
- Data Science
- Computer Science
- Information Systems
- Analytics
- Engineering
- Related Discipline
Experience
Required
- Significant experience leading Data & Analytics organizations.
- Experience defining enterprise data strategies.
- Experience designing large-scale data architectures.
- Experience delivering enterprise data warehouse initiatives.
- Experience leading cloud data platform implementations.
- Experience managing enterprise analytics programs.
Higher Education Experience
Required
- Experience within Higher Education environments.
- Experience supporting multi-campus or multi-entity institutions.
- Strong understanding of educational data and reporting requirements.
- Strategic Leadership
- Organizational Transformation
- Executive Communication
- Stakeholder Management
- Change Leadership
- Team Building
- Influencing Skills
- Decision Making
Core Competencies
- Data Strategy
- Data Architecture
- Data Warehousing
- Data Governance
- Analytics Leadership
- Higher Education Analytics
- Azure Synapse
- Azure Data Factory
- Power BI
- Data Engineering
- Data Integration
- Business Intelligence
- Student Analytics
- AI & Predictive Analytics
- Digital Transformation
- Enterprise Reporting
- Data Quality Management
- Executive Leadership
📌 Head of Data & Analytics (Uttar Pradesh)
🏢 SoTalent
📍 Uttar Pradesh
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