At a Glance
- Tasks: Lead the Data Analytics function and deliver the organisation's data strategy.
- Company: Join one of the UK's leading healthcare providers focused on data transformation.
- Benefits: Salary range of £65,000 - £72,000 with remote work and occasional travel to London.
- Other info: Role involves leading a team across data engineering, analytics, and automation.
- Why this job: Influence technology direction and organisational strategy in a major analytics modernisation programme.
- Qualifications: Experience in healthcare or highly regulated environments is ideal.
The predicted salary is between 65000 - 72000 £ per year.
£65,000 - £72,000 Remote (UK) with occasional travel to London national sites
I'm currently working with one of the UK's leading healthcare providers, who are looking to hire a Head of Healthcare Data to lead their growing data function and drive the next phase of their data transformation journey. This role sits within the Digital, Data Technology leadership team and will be responsible for shaping and delivering the organisation's data strategy, leading a team across data engineering, analytics and automation, and ensuring data is leveraged as a strategic asset across the business.
The organisation is embarking on a major analytics modernisation programme, including a move to Microsoft Fabric, the development of self-service analytics capabilities, and the exploration of AI and predictive analytics. This presents an excellent opportunity for an experienced data leader to influence both technology direction and wider organisational strategy.
The Head of Healthcare Data will:
- Lead and develop the Data Analytics function, providing strategic direction and leadership across data, analytics and automation
- Own and deliver the organisation's data strategy, ensuring data drives operational, clinical and business value
- Lead the ongoing analytics modernisation programme, including the implementation of Microsoft Fabric
- Establish and embed data governance frameworks, standards and best practices across the organisation
- Drive the adoption of self-service analytics, data literacy and AI-enabled capabilities
- Work closely with senior stakeholders and executive leadership to influence strategic decision-making through data and insight
- Manage and develop a high-performing team whilst fostering a culture of continuous improvement and innovation
- Ideally have experience within healthcare, clinical, NHS or other highly regulated environments
Head of Healthcare Data employer: Understanding Recruitment
This role is with a top UK healthcare provider committed to data-driven decision-making. Enjoy a competitive salary and the flexibility of remote work, with opportunities for professional growth in a dynamic environment. The team is focused on innovation and continuous improvement in healthcare data management.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Healthcare Data
✨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 Understanding Recruitment!
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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 Understanding Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Head of Healthcare Data at Understanding Recruitment, 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 Head of Healthcare Data
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 Understanding Recruitment, 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 Understanding Recruitment. 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 Understanding Recruitment
✨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 Understanding Recruitment!
✨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.
