Head of Data & Analytics
Role: Head of Data and Analytics As GEDU continues to evolve its digital and data capabilities, we are seeking a Head of Data and Analytics to lead the design, implementation, and governance of a Group-wide data warehouse and analytics ecosystem. This role is pivotal in building a unified, insight-driven organization that connects data across all GEDU institutions to enable better decision-making and improved student outcomes. Role Purpose The Head of Data and Analytics will define and deliver GEDU’s Data and Analytics Strategy, establishing a robust foundation for data-driven transformation across the Group. You will architect the GEDU Data Warehouse, build enterprise-wide data pipelines, and enable advanced analytics that unify information from our Student Management Systems, CRMs, LMSs, and ERPs. This leadership role demands a visionary thinker with a deep understanding of higher education data models, modern cloud technologies, and cross-institutional data governance. Work Model : Onsite (Fulltime) Job Location : GBS Greenford Industry Required : Higher Education Key Responsibilities > Strategic Leadership
- Develop and execute the GEDU Group Data and Analytics Strategy, aligned with GEDU’s strategic, academic, and operational objectives.
- Define and oversee the GEDU Group Data Architecture, ensuring seamless integration of data across all entities and systems.
- Lead the design and implementation of the GEDU Data Warehouse—a single source of truth for student, academic, finance, HR, and marketing data.
- Partner with entity leaders to embed data-driven decision-making in academic and operational planning.
- Lead the end-to-end design and implementation of a modern, cloud-based data platform (preferably on Microsoft Azure, leveraging Synapse, Data Factory, and Power BI).
- Build and manage data pipelines for ingesting, transforming, and harmonizing data from multiple systems (e.g., Unit4, Zoho, Moodle, Panopto, Salesforce, Thesis & home-grown systems).
- Establish and maintain standardized data models that reflect the student lifecycle from admissions through to alumni engagement.
- Ensure scalability, performance, and reliability of all data solutions.
- Develop a central analytics framework to deliver enterprise dashboards, performance KPIs, and institutional scorecards.
- Empower business users and leadership with self-service analytics via Power BI or similar tools.
- Lead the introduction of advanced analytics and AI-driven insights for forecasting enrolments, tracking retention, and optimizing student outcomes.
- Collaborate with academic and operations teams to turn data into actionable insights.
- Establish GEDU’s Data Governance Framework, defining roles, policies, and standards across all institutions.
- Ensure full compliance with GDPR, data protection, and sector-specific regulations.
- Implement data quality management, metadata catalogues, and stewardship processes.
- Build and lead a central Data and Analytics team comprising data architects, engineers, BI developers, and analysts.
- Work closely with institutional CTOs, Registrars, and leadership teams to align local needs with Group standards.
- Manage relationships with external vendors, implementation partners, and managed service providers.
- Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, or related discipline.
- In-depth experience in Data Architecture, Analytics, or Business Intelligence leadership roles.
- Proven experience in the Higher Education sector, ideally across multi-campus or multi-system environments.
- Strong expertise in cloud data platforms (preferably Azure Synapse, Data Factory, and Power BI).
- Demonstrated success in enterprise data warehouse design, system integration, and data governance.
- Deep understanding of education data models, including admissions, enrolment, academic progression, attendance, and outcomes.
- Experience integrating data from systems such as Unit4, Moodle, Zoho, Salesforce, Panopto, or similar.
- Strong leadership and stakeholder management experience within a complex, global organizational structure.
- Experience with AI/ML models for student success, retention, or operational forecasting.
- Understanding of ETL/ELT pipelines, API integrations, and metadata management.
- Exposure to multi-region data consolidation and cross-border compliance.
- Previous experience managing hybrid and offshore teams.
- Strategic mindset with the ability to execute at both technical and leadership levels.
- Strong communicator who can translate complex data concepts into business value.
- Passion for improving education through data and technology.
- Highly collaborative, with a focus on enabling institutional success through shared data capabilities.
- Commitment to excellence, innovation, and continuous improvement.