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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.

The Head of Data and Analytics will define and deliver GEDUs 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

• Develop and execute the GEDU Group Data and Analytics Strategy, aligned with GEDUs 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 Warehousea 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 GEDUs 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.

• Bachelors or Masters 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 organisational 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.