Head - Data Analytics

Note : Women Candidates Preferred

What We Expect From You :

Strategic Leadership :

- Define and oversee Group-wide Data Architecture to integrate data from all systems and institutions.

- Design and implement the GEDU Data Warehouse as the single source of truth for academic, student, financial, HR, and marketing data.

- Partner with academic and operational leaders to embed data-driven decision making across institutions.

Data Platform & Architecture :

- Build scalable data pipelines to ingest, transform, and harmonize data from Unit4, Zoho, Moodle, Salesforce, Panopto, Thesis, and other systems.

- Develop and maintain standardized data models reflecting the full student lifecycle from admissions to alumni engagement.

- Ensure scalability, performance, reliability, and security of all data solutions.

Analytics & Insights :

- Establish a centralized analytics framework delivering enterprise dashboards, KPIs, and institutional scorecards.

- Drive the adoption of self-service analytics using Power BI or similar BI tools.

- Lead advanced analytics, forecasting, and AI-driven insights to support enrolment, retention, and academic performance.

- Convert data insights into actionable recommendations in collaboration with academic and operational teams.

Governance & Compliance :

- Ensure compliance with GDPR, data protection laws, and higher-education-specific regulations.

- Implement robust data quality processes, metadata catalogues, and stewardship models.

Leadership & Collaboration :

- Collaborate closely with institutional CTOs, Registrars, and leadership teams to harmonize local priorities with Group standards.

- Manage relationships with vendors, partners, and managed service providers to ensure delivery excellence.

What Experience Will You Bring to the Role ?

- Extensive leadership experience in Data Architecture, Analytics, BI, or related domains.

- Mandatory experience in the Higher Education sector, ideally across multi campus or global environments.

- Deep expertise in Azure-based data platforms (Synapse, ADF, Power BI).

- Proven ability to design enterprise data warehouses and lead large-scale integration initiatives.

- Strong understanding of higher-education data models: admissions, enrolment, progression, attendance, assessments, outcomes.

- Experience integrating data from systems like Unit4, Moodle, Zoho, Salesforce, Panopto, and similar platforms.

- Demonstrated experience working within complex global structures and managing diverse stakeholders.

- Exposure to AI/ML models supporting student retention, forecasting, and academic performance analytics.

Desirable Experience :