Head of Data & Analytics Technology in City of Westminster

Head of Data & Analytics Technology in City of Westminster

City of Westminster Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Capita

At a Glance

  • Tasks: Lead the vision and strategy for Capita's enterprise-wide data ecosystem.
  • Company: Join a forward-thinking company at the forefront of digital transformation.
  • Benefits: Competitive salary, generous holiday, paid volunteering day, and family leave policies.
  • Other info: Inclusive workplace committed to diversity and equal opportunities.
  • Why this job: Shape the future of data technology and make a lasting impact.
  • Qualifications: Proven leadership in data platforms and expertise in cloud technologies.

The predicted salary is between 80000 - 100000 £ per year.

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.

What we are looking for

  • 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 DevOps, 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.

Leadership & Personal Attributes

  • 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.

Technical Capability & Background

  • 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 & DataOps (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.

What’s in it for you

  • Competitive salary.
  • 23 days’ holiday, rising to 27 (pro rata) – plus the option to buy more after qualifying period.
  • Paid volunteering day with a charity of your choice.
  • Generous family leave policies – including 15 weeks’ fully paid maternity, adoption, and shared parental leave.
  • Cycle2Work scheme, pension, life assurance, and more.

We are committed to building a workforce that reflects the diversity of the communities we serve. As part of our strategic goals, we are focused on accelerating gender and ethnic representation in leadership roles. We warmly encourage applications from women and individuals from Black, Asian, and other ethnic minority backgrounds. We’re an equal opportunity and Disability Confident employer, which means we recruit and develop people based on their merit and passion. We’re committed to providing an inclusive, barrier‑free recruitment process and working environment for everyone.

Head of Data & Analytics Technology in City of Westminster employer: Capita

Capita is an exceptional employer that fosters a culture of innovation and collaboration, particularly in the dynamic field of data and analytics technology. With a commitment to employee growth, we offer competitive salaries, generous leave policies, and opportunities for professional development in a supportive environment. Located in London, our team thrives on diversity and inclusion, ensuring that every voice is heard and valued as we drive forward our enterprise data strategy.

Capita

Contact Details:

Capita Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Head of Data & Analytics Technology in City of Westminster

Network Like a Pro

Get out there and connect with people in the data and analytics field! Attend industry events, webinars, or even local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.

Showcase Your Expertise

Create a portfolio that highlights your projects and achievements in data platforms and analytics. Share it on LinkedIn or your personal website. This way, potential employers can see your skills in action, making you stand out from the crowd.

Ace the Interview

Prepare for interviews by researching the company and its data strategy. Be ready to discuss how your experience aligns with their goals. Practice common interview questions and think of examples that showcase your leadership and technical skills.

Apply Through Our Website

Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about joining our team!

We think you need these skills to ace Head of Data & Analytics Technology in City of Westminster

Technical Leadership
Enterprise Data Platform (EDP) Management
Platform Architecture Strategy
Cloud Data Technologies (Snowflake, Databricks, AWS, Microsoft stack)
Agile Methodologies
DevOps Practices
AI/ML Technologies

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with enterprise-scale data platforms and cloud technologies. We want to see how your skills align with the role of Head of Data & Analytics Technology!

Showcase Your Leadership Skills:This role is all about leading teams and driving innovation. Share examples of how you've built high-performing teams and delivered successful data-driven initiatives in your previous roles. We love a good success story!

Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use bullet points where possible to make your achievements stand out. We appreciate clarity and want to see your key strengths shine through!

Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. Don’t miss out!

How to prepare for a job interview at Capita

Know Your Data Inside Out

As a candidate for the Head of Data & Analytics Technology, you need to be well-versed in the latest data technologies like Snowflake and Databricks. Brush up on your knowledge of cloud platforms and be ready to discuss how you've successfully implemented these technologies in past roles.

Showcase Your Leadership Skills

This role requires strong leadership capabilities. Prepare examples that demonstrate how you've built and led high-performing teams in complex environments. Be ready to discuss your approach to stakeholder management and how you inspire others to achieve common goals.

Align with Business Goals

Understand Capita's business objectives and be prepared to discuss how your vision for the Enterprise Data Platform aligns with these goals. Think about how you can drive innovation while ensuring governance and security are maintained.

Prepare for Technical Questions

Expect technical questions related to platform architecture, data governance, and analytics. Brush up on your programming skills, especially SQL and Python, and be ready to explain your thought process when tackling complex data challenges.