Head of Data & Analytics Location: Sector, Uttar Pradesh, India Industry: Education Work Setting: Hybrid Are you a strategic data leader who can build a contemporary 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

📌 Head of Data & Analytics (Kanpur)
🏢 SoTalent
📍 Kanpur