Head of Data Analytics

Key Responsibilities

• Define and lead the analytics strategy for Xantura and the OneView platform.  
• Shape the future use of predictive analytics, machine learning, and AI capabilities within the platform. 
• Ensure analytics capability aligns with organisational priorities, customer needs, and evolving market opportunities.  
• Maintain awareness of emerging technologies and introduce appropriate innovation pragmatically and responsibly.  

• Lead the analytics function within the Platform Delivery team.  
• Work closely with the CTO and Director of Platform to ensure analytics capabilities evolve coherently alongside platform architecture and product strategy.  
• Support the operational integration of predictive analytics and AI into the OneView platform.  
• Ensure analytical models and outputs are scalable, supportable, explainable, and operationally effective.  

• Act as a senior advisory lead to the Data & Analytics team within Client Delivery on:  
• Predictive model structure and methodology  
• Analytical standards and governance  
• Model evolution and optimisation  
• Ethical and proportionate use of AI and analytics  
• Act as an advisory lead to the TechOps team within Customer Success on:  
• Operational management of predictive models  
• Deployment and monitoring approaches  
• LLM-generated case summaries and AI-supported workflows  
• Model quality assurance and lifecycle management  

• Establish and maintain high standards for analytics quality, validation, governance, and documentation.  
• Promote the ethical use of AI and predictive analytics, particularly in environments involving vulnerable individuals and sensitive public-sector interventions.  
• Ensure analytical approaches remain transparent, defensible, and proportionate.  

• Identify and evaluate emerging analytics and AI technologies that could strengthen the platform or improve customer outcomes.  
• Help maintain Xantura’s position as a market leader through thought leadership, innovation, and external engagement.  
• Present the organisation’s analytics vision, capability, and technology approach to clients, partners, and the wider market.  
• Support business development and strategic customer engagement where required.  

• Provide leadership and direction to the analytics function within Platform Delivery.  
• Support capability development, mentoring, and continuous improvement across analytics teams.  
• Foster collaboration between platform, delivery, customer success, and technical teams.  

• Reports to the CTO  
• Works closely with the Director of Platform  
• Collaborates across Platform Delivery, Client Delivery, and Customer Success functions  

Skills, Knowledge & Expertise

• Strong experience leading analytics, predictive modelling, or AI functions within complex operational environments.  
• Proven experience delivering operational AI and predictive analytics solutions at scale.  
• Strong management and leadership experience.  
• Ability to operate across strategy, technology, delivery, and stakeholder engagement.  
• Experience presenting complex analytical concepts to senior stakeholders, customers, and external audiences.  
• Strong understanding of governance, quality assurance, and lifecycle management for analytical models.  
• Deep appreciation for the ethical application of AI and analytics, particularly when supporting vulnerable people.  
• Public-sector experience is highly desirable.  
• Strong communication and influencing skills with both technical and non-technical audiences.  

Job Benefits

• Competitive salary reviewed annually  
• Opportunity to work for a passionate, mission-driven company seeking to resolve key societal issues  
• Flexible working – the opportunity to work flexible hours around life commitments, with a focus on outcomes rather than hours worked  
• Remote working – the ability to work remotely, excluding team meetings and client face-to-face sessions  
• Training and development opportunities identified through the appraisal process and funded by the business where agreed  
• 25 days annual leave (excluding bank holidays)  
• Company pension plan  
• Provision of required IT equipment (minimum laptop)  
• Travel and accommodation expenses covered where applicable