Head of Data Platform in London

Head of Data Platform in London

London Full-Time 90000 - 110000 £ / year (est.) On-site
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At a Glance

  • Tasks: Lead the design and delivery of a modern data platform for a transformative organisation.
  • Company: A leading UK organisation merging finance, tech, and social purpose.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Join a high-performing team dedicated to innovation and excellence.
  • Why this job: Shape the future of data and analytics in a dynamic, impactful environment.
  • Qualifications: Proven leadership in data engineering and platform architecture.

The predicted salary is between 90000 - 110000 £ per year.

A leading UK organisation at the intersection of financial services, technology and social purpose. Serving millions of customers nationwide, the business is undertaking an ambitious transformation agenda across data, AI, digital innovation and customer engagement. This role plays a critical part in shaping and delivering that transition; defining how platform, data engineering, insight and analytics capabilities come together.

We are looking for a senior leader to own the design, build, and delivery of a modern data platform. This role will lead a cross-functional engineering and data team, working with our delivery partner, to migrate legacy data products and establish a scalable, secure, cloud-based platform. This role has end-to-end accountability for creating key components of the Data strategy; from concept into delivery, including the build, platform architecture, technology choices, engineering standards and long-term evolution.

Success in this role will mean delivering a production-ready platform, enabling self-service analytics, and establishing the operating model required to sustain and evolve it. This role will migrate priority analytics and reporting products into a modern, performant data platform, redesigning them where needed to improve value, scalability and usability, while decommissioning legacy infrastructure.

The current squad brings together data engineering, modelling, analytics and platform expertise. You’ll also be responsible for the team build out, ensuring we have the right team, to deliver key components of our Data strategy.

  • Platform delivery: Own the build and delivery of a modern, cloud-based data platform, including migration from legacy environments, data feeds and ways of working. Establish the standards, controls and accountability required to assure data and data-product quality and decommission legacy tooling to realise the full financial benefits.
  • Strategy & architecture: Perform an evidence-led review of the existing data estate, establishing what can be built, what needs to change and where a different approach may be required. Define the target architecture, platform roadmap, engineering standards and best practice, maintaining a holistic view of current and future needs.
  • Leadership: Build and lead a high-performing data engineering and platform team, with ways of working which promote efficiency and quality.
  • Governance: Ensure data quality, security, and compliance aligned to regulatory expectations.
  • Partners: Shape and lead an integrated delivery model across the business, establishing clear accountability, high engineering standards and shared ways of working that improve quality and accelerate delivery.

Head of Data Platform in London employer: Eden Smith Group

Join a leading organisation renowned for its commitment to data innovation and transformation, where you will be part of a dynamic team dedicated to enhancing customer management systems. With a strong focus on employee development, you will have access to extensive training opportunities and the chance to work alongside industry experts in a collaborative and supportive remote environment. This role not only offers competitive compensation but also the unique advantage of contributing to significant enterprise-level projects that shape the future of data management.

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Contact Details:

Eden Smith Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Head of Data Platform in London

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We think you need these skills to ace Head of Data Platform in London

Data Platform Design
Cloud-Based Solutions
Data Engineering
Analytics Capabilities
Platform Architecture
Migration Strategies
Data Quality Assurance

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Eden Smith Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Eden Smith Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Eden Smith Group

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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✨Get Comfortable with Python and R

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✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.