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.
- Solid 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

📌 Head of Data & Analytics (Uttar Pradesh)
🏢 SoTalent
📍 Uttar Pradesh