Job Description & How to Apply Below
Noida, Uttar Pradesh
About the Role
This is a senior leadership role responsible for shaping and delivering a Group-wide Data & Analytics strategy across a multi-institution Higher Education environment. The role will lead the design, implementation, and governance of a unified enterprise data warehouse and analytics ecosystem, enabling data-driven decision-making and improved student outcomes across the full student lifecycle.
You will work at the intersection of technology, academic operations, and institutional leadership, building a single source of truth across Student Management Systems, CRMs, LMSs, and ERPs.
Important:
Candidates must have prior experience in the Higher Education sector. Applications without this background will not be considered.
Role Purpose
The Head of Data & Analytics will define and execute the organisation’s Data & Analytics Strategy, establishing scalable, secure, and insight-driven data capabilities across multiple institutions. This role requires a visionary leader with deep expertise in higher education data models, cloud-based data platforms, and enterprise data governance.
Key Responsibilities
Strategic Leadership
- Define and deliver a Group-wide Data & Analytics Strategy aligned to academic, operational, and commercial goals
- Own and evolve the enterprise data architecture, ensuring alignment across all institutions
- Lead the creation of a central Data Warehouse serving as the single source of truth
- Embed data-driven decision-making across academic and operational leadership teams
Data Platform & Architecture
- Lead the design and delivery of a modern cloud-based data platform (preferably Microsoft Azure: Synapse, Data Factory, Power BI)
- Build and manage robust data pipelines integrating multiple systems (e.g. ERP, CRM, LMS, finance, and bespoke platforms)
- Define and maintain standardised student lifecycle data models (admissions to alumni)
- Ensure scalability, performance, reliability, and security of all data solutions
Analytics & Insights
- Establish a central analytics framework including enterprise dashboards, KPIs, and institutional scorecards
- Enable self-service analytics for leadership and business users
- Introduce advanced analytics and AI-driven insights (enrolment forecasting, retention, student success)
- Partner with academic and operational teams to translate insights into action
Governance & Compliance
- Design and implement a Group Data Governance Framework
- Ensure compliance with GDPR and education-sector data regulations
- Implement data quality standards, metadata management, and stewardship processes
Leadership & Collaboration
- Build and lead a central team of data architects, engineers, BI developers, and analysts
- Partner closely with institutional technology and academic leaders
- Manage external vendors, system integrators, and managed service providers
Required Experience & Qualifications
- Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, or related field
- Senior leadership experience in Data, Analytics, or Business Intelligence
- Proven experience in Higher Education (multi-campus or multi-system environments strongly preferred)
- Strong expertise in cloud data platforms, ideally Microsoft Azure
- Demonstrated success delivering enterprise data warehouses and data governance frameworks
- Deep understanding of education data models (admissions, enrolment, progression, outcomes)
- Experience integrating data from ERP, LMS, CRM, and learning platforms
- Strong stakeholder management experience in complex, global organisations
- Exposure to AI/ML use cases for student success, retention, or forecasting
Desirable Experience
- ETL/ELT pipelines, API-based integrations, metadata/cataloguing tools
- Multi-region data consolidation and cross-border compliance
- Managing hybrid, offshore, or globally distributed teams
Personal Attributes
- Strategic leader with strong hands-on technical credibility
- Excellent communicator able to translate data into business and academic value
- Passion for improving education through data and technology
- Highly collaborative and outcome-focused
- Commitment to innovation, quality, and continuous improvement
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