Head of Data & Analytics Technology
Listed on 2026-05-31
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IT/Tech
Data Engineer, Data Science Manager, Data Analyst, Cloud Computing
Purpose of the role:
MUST BE ELIGIBLE FOR SC CLEARANCE
We're seeking an exceptional Head of Data & Analytics Technology to lead the vision, strategy, and delivery of Capita's enterprise-wide data ecosystem. This is a high-impact leadership role where you'll own and evolve our Enterprise Data Platform (EDP), shaping a modern, scalable, and secure data environment that powers insight, innovation, and growth.
As a key member of the data leadership team, you'll define the future of data and analytics technology across the organisation—driving forward platform architecture, platform engineering, and cutting‑edge solutions. You'll lead a talented technology and platform architecture function, delivering large‑scale, data‑driven initiatives and building products and services that create measurable business value.
Working in close partnership with senior stakeholders across Data Governance, Data Services, and Data Transformation, you'll enable the delivery of world‑class data capabilities—both internally and for our clients. Your focus will be on creating a high‑performing, resilient, and future‑ready platform that unlocks the full potential of data across Capita.
This is a unique opportunity to shape enterprise data strategy at scale, influence senior stakeholders, and make a lasting impact in a role at the forefront of digital transformation.
What you will do:- Provide enterprise‑wide technical leadership across data & analytics technology, driving innovation, best practice, and adoption of emerging technologies.
- Own and evolve the Enterprise Data Platform (EDP), including standards, tooling, platform architecture, performance, and day‑to‑day operations.
- Define and deliver Capita's platform architecture strategy, ensuring alignment with business goals, governance, and security, and enabling seamless cross‑platform data integration.
- Build and lead a high‑performing centre of excellence, partnering effectively with internal teams and external vendors.
- Own and deliver the platform roadmap, applying strong governance, risk management, and agile delivery practices.
- Collaborate with stakeholders to design and deliver data products, solutions, and capabilities that meet business and client needs.
- Provide technical expertise and guidance across design, scalability, performance, and delivery.
- Manage a structured product backlog, balancing innovation, technical debt reduction, and commercial outcomes.
- Act as a trusted advisor across major programmes, transformation initiatives, and client opportunities, championing data governance and quality.
Experience
- Proven leadership of enterprise‑scale data platforms in complex organisations
- Deep expertise in cloud data technologies, including Snowflake, Databricks, AWS, and Microsoft stack
- Strong background in platform architecture and multi‑vendor, multi‑cloud environments
- Experience working in Agile environments with diverse stakeholders
- Knowledge of Dev Ops, CI/CD, and continuous improvement practices
- Demonstrated success in innovation and emerging technologies, including AI/ML
- Proven ability to build and lead high‑performing teams
- Inspiring leader with strong stakeholder management and communication skills
- Commercially aware, strategic, and results‑driven
- Resilient, adaptable, and able to operate in fast‑paced, complex environments
- Strong analytical and problem‑solving capability
- Pragmatic approach, balancing governance with innovation
- Degree (or equivalent experience) in a relevant field
- Extensive experience in data platforms, platform architecture, and analytics within large, complex organisations
- Strong hands‑on expertise across:
- Modern data stack & Data Ops (Snowflake, Databricks)
- Platform architecture & engineering (ETL/ELT, modelling, warehousing)
- Cloud platforms (AWS, Azure, GCP)
- Programming (SQL essential, Python, Spark, Java/Scala)
- Data governance & security (including GDPR)
- Advanced analytics & AI/ML
- Experience building and scaling enterprise data platforms and leading transformation at scale
- Competitive salary
- 23 days' holiday, rising to 27 (pro rata) — plus the option to buy more…
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