TL;DR

Global Head of Data & Analytics (Edtech): Leading the enterprise-wide data strategy and building a high-performing function to generate strategic value from data across a global educational organization with an accent on modernizing core data platforms, strengthening governance, and embedding an evidence-based decision-making culture. Focus on designing and operating a global data and analytics model that delivers trusted insights, empowers business units, and ensures consistency and quality.

Location: Hybrid working opportunity from IB Global Centres: Cardiff (UK), Netherlands, Singapore, or Washington DC (USA)

Salary: GBP 90,000

Company

%hirify_global% is a global organization providing world-class educational services to over 5,700 schools across 162 countries, focused on creating a better and more peaceful world through education.

What you will do

Lead the global data strategy, vision, operating model, and governance for a scalable, organization-wide data capability.
Drive consistent, trusted insights by defining enterprise metrics and overseeing global dashboards with high data quality.
Advance analytics maturity, ensuring high-quality, actionable insights inform strategic and investment decisions.
Champion data storytelling, establishing global standards for visualization and effective communication to senior leaders.
Oversee data acquisition and integration, shaping scalable data pipelines for a connected and reliable data landscape.
Strengthen data infrastructure and governance, prioritizing platforms and safeguarding data privacy, security, and compliance.

Requirements

English: B2 required
Significant senior leadership experience in large-scale data and analytics transformation across complex global organizations.
Proven ability to influence and collaborate with senior stakeholders across multiple functions.
Experienced in building, developing, and leading high-performing data and analytics teams.
Degree in a data-related field; postgraduate study or equivalent experience preferred.
Expertise in data and analytics technologies (e.g., SQL, Python, R, Tableau, Power BI) and advanced analytics, predictive modeling, and machine learning.
Deep knowledge of data governance, management, quality, security, and compliance.

Culture & Benefits

Competitive salary dependent on location with annual pay review and bonus eligibility.
10% employer pension contribution with 3% employee contribution for UK employees.
30 days annual leave plus public holidays and enhanced family-friendly benefits for UK employees.
Life assurance (4x annual salary) and flexible working hours (37.5 hours per week).
Flexible benefits allowance (1.5% of annual salary) to spend on benefits or as an addition to salary.
Excellent continuous professional development, health and wellness schemes, and paid volunteering leave.