Head of Data Analytics
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-06-12
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IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, AI Engineer (Applied/Software)
Head of Data Analytics
Department: Platform Delivery
Employment Type: Permanent - Full Time
Location: London
Reporting To: Phil Miller
DescriptionLead the strategic direction and operational excellence of data analytics within Xantura and the One View platform. The role is responsible for shaping how predictive analytics, AI, and analytical insight are embedded within the platform, ensuring solutions are ethical, scalable, impactful, and aligned to real public-sector outcomes.
The Head of Data Analytics will lead the analytics function within the Platform Delivery team while acting as a senior advisor across client delivery and customer success functions to ensure analytical consistency, quality, innovation, and operational effectiveness.
Key Responsibilities Analytics Strategy & Leadership- Define and lead the analytics strategy for Xantura and the One View 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 One View 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 Tech Ops 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
We operate a remote working model with monthly team meetings at our offices in London. There may also be requirements for client onsite visits depending on project needs.
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…
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