Head of Data & Analytics

Head of Data & Analytics

📍 Location: Sector, Uttar Pradesh, India

🏢 Industry: Education

💼 Work Setting: Hybrid

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 modern 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.

Typical Source Systems

• Unit4
• Salesforce
• Zoho
• Moodle
• Panopto
• Thesis
• ERP Platforms
• Student Information Systems
• Custom Applications

Higher Education Data Modeling

• Establish standardized education-focused data models.
• Design models supporting the entire student lifecycle.
• Ensure consistent definitions and metrics across institutions.

Student Lifecycle Coverage

• Admissions
• Recruitment
• Enrollment
• Attendance
• Academic Progression
• Student Success
• Graduation
• Alumni Engagement

Analytics & Business Intelligence

Enterprise Analytics Framework

• 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.

Example Use Cases

• Enrollment Forecasting
• Retention Analytics
• Student Success Prediction
• Resource Planning
• Academic Performance Analysis
• Operational Optimization

Data Governance & Compliance

Enterprise Data Governance

• 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

Stakeholder Management

Partner with:

• Institutional CTOs
• Registrars
• Academic Leadership
• Finance Leaders
• HR Leaders
• Marketing Teams
• Operations Leadership

Responsibilities

• 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.

Domain Knowledge

• Admissions
• Enrollment Management
• Academic Records
• Student Progression
• Retention
• Graduation Outcomes
• Institutional Performance

Technical Expertise

Data Platforms

Preferred

• Azure Synapse Analytics
• Azure Data Factory
• Power BI
• Azure Cloud Services

Data Architecture

• Enterprise Data Warehousing
• Data Modeling
• Data Integration
• Data Lakes
• Data Governance
• Master Data Management

Analytics & BI

• Executive Dashboards
• KPI Frameworks
• Self-Service Analytics
• Data Visualization
• Business Intelligence Strategy

Artificial Intelligence & Advanced Analytics

• Predictive Analytics
• Machine Learning
• Student Success Models
• Enrollment Forecasting
• Operational Analytics

Leadership Competencies

• 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