Lead Data Architect in Leeds

Lead Data Architect in Leeds

Leeds Full-Time 65581 - 73815 £ / year (est.) Home office (partial)
N

At a Glance

  • Tasks: Lead the design and development of innovative data models for the NHS.
  • Company: Join NHS England, a leader in healthcare innovation and data management.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on collaboration and impact.
  • Why this job: Make a real difference in healthcare by shaping national data standards.
  • Qualifications: Master's degree in computing or related field; experience in data architecture required.

The predicted salary is between 65581 - 73815 £ per year.

We are recruiting a Lead Data Architect to work within the Data Design Service. The postholder will work predominantly within Data Design-Data Sets. This sub-team manages the development of new national clinical, workforce and costing data sets and changes to existing ones. The service carries out stakeholder engagement and develops data models, specifications and documents as required by the approval process. Once approved, the service then supports the implementation of the data sets as subject matter experts. They also provide wider consultancy advice regarding data set development.

Data Design are also supporting the development of NHS England's logical Canonical Data Model. The Canonical Data Model is a national framework designed to unify and standardise health and care data and provide a common structure and language across disparate NHS systems.

As a Lead Data Architect, the post holder will work as part of a dynamic architecture practice in delivering an effective service supporting managers and staff across the health and care system. They support the design and build of data models to fulfil the strategic data needs of the business as defined by the Chief Data Architect. They undertake design, support and provide guidance for the upgrade, management, de-commission and archive of data in compliance with data policy. They also provide input into data dictionaries.

NHS England has a wide range of statutory functions, responsibilities and regulatory powers. These are focused on supporting the wider NHS to deliver high quality care, as well as doing those things that are best done once for the whole NHS.

Our staff bring expertise across clinical, operational, commissioning, technology, data science, cyber security, software engineering, education, and commercial specialisms -- enabling us to design and deliver high-quality NHS services.

In March 2025, the Government announced that NHS England and the Department of Health and Social Care will increasingly merge functions, ultimately leading to NHS England being fully integrated into the department.

If you currently work within the NHS and if successful at interview, we will initiate an Inter Authority Transfer (IAT) via the Electronic Staff Record (ESR). This retrieves key data from your current or previous NHS employer to support onboarding, including competency status, Continuous Service Dates (CSD), and annual leave entitlement. You may opt out at any stage of the process.

Colleagues with a contractual office base are expected to spend, on average, at least 40% of their time working in our offices. Staff recruited from outside the NHS will usually be appointed at the bottom of the pay band. We cannot offer visa sponsorship for any vacancies.

Job Responsibilities:

You can find further details about the role, including key responsibilities and accountabilities, and person specification in the attached Job Description. Please ensure your supporting statement includes demonstratable evidence and specific examples on how you meet the criteria for each of the key skills specified. This will be used in both the shortlisting and interview processes.

Person Specification

  • Qualifications: Educated to master's level or above, specifically in a computing, scientific, clinical or mathematical subject or equivalent level of experience of working at a senior level in specialist area.
  • Knowledge: Specialised knowledge of clinical terminology and/or principles associated with large scale information systems and data operational services, for example SNOMED CT and its applications. Specialised knowledge of complex relational data sets. A thorough understanding of the definition, specification and documentation of functional and non-functional data handling requirements.
  • Skills: Designs data architecture by dealing with specific business problems and aligning it to enterprise-wide standards and principles. Works within the context of well understood architecture and identifies appropriate patterns.
  • Experience: Can liaise with stakeholders, communicating highly complex concepts and highly complex issues clearly and accurately, and adapting communication style to suit the recipient.

This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.

Lead Data Architect in Leeds employer: National health service

NHS England is an exceptional employer, offering a collaborative work culture that prioritises high-quality care and innovation in the health sector. As a Lead Data Architect, you will have access to extensive professional development opportunities, working alongside experts in various fields while contributing to impactful national projects like the Canonical Data Model. With flexible working arrangements and a commitment to employee well-being, NHS England provides a supportive environment for meaningful and rewarding careers.

N

Contact Details:

National health service Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Architect in Leeds

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like National health service!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Architect at National health service.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like National health service.

Apply Directly through Our Website

When you find a suitable opening like Lead Data Architect at National health service, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Lead Data Architect in Leeds

Communication Skills
SQL
Problem-Solving Skills
Automation
Python
Data Governance
Attention to Detail

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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at National health service, 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 National health service. 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 National health service

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!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at National health service!

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.