At a Glance
- Tasks: Own and optimise Healf's master data to ensure seamless international growth.
- Company: Join Europe's fastest-growing health company with a vibrant culture.
- Benefits: Competitive salary, personal growth investment, and a chance to shape the future.
- Other info: Be part of a small, dynamic team where your contributions truly matter.
- Why this job: Make a real impact on wellbeing for millions while driving data excellence.
- Qualifications: Proven experience in master data ownership and transformation in high-growth environments.
The predicted salary is between 55000 - 85000 £ per year.
The one who makes the data mean something. Healf has built something rare: half a million customers, 100+ brands, and a supply chain scaling across borders. A product catalogue that powers the website, the app, Healf Zone, and everything in between. None of it works without clean data underneath it.
Healf has scaled faster than almost any company in Europe. At that pace, the data infrastructure that got you to £100m is not the infrastructure that gets you to £1bn — and certainly not the infrastructure that takes you across borders. Going international changes everything: new markets, new compliance requirements, and new complexity in how product data flows from supplier intake to storefront. A single data error on a brand can hold up a shipment at customs. A product record without the right attributes fails to load on a new market's storefront. The stakes are real and the timeline is not abstract.
The master data foundation that makes all of it possible hasn't been built yet. That is the opportunity. Healf is Europe's fastest-growing company, number one on the FT1000 and Sifted 100. From £1m to over £100m in under three years, with a small, talent-dense team and an electric culture with day one founder intensity. Now we're aiming for £1bn in the next three.
We curate the world's best wellbeing brands across The Four Pillars™: EAT, MOVE, MIND, SLEEP. That's the first chapter. The next chapter is harder and more interesting. We are moving from one market to many, from e-commerce to a technology platform, and from curating wellbeing to defining it. We are a health company, so we think we should act like one. At its fullest expression, Healf redefines what wellbeing means for tens of millions of people.
Why this role is Healf
Master data is not a technical function at Healf; it is a commercial one. The Product Database sits at the centre of how Healf operates. It feeds the website, Helix, Healf Zone, and every downstream customer-facing interaction the business makes. When it is clean, accurate, and governed, everything downstream runs. When it isn't, the failures are everywhere — and they compound.
Scaling internationally makes this urgent. Cross-border shipping requires product data that meets the compliance standards of each market. New country launches depend on being able to translate operational data into local requirements quickly and without error. The PIM complexity of a 100+ brand catalogue across multiple markets is not a problem that solves itself.
Healf has the ambition, growth, and international roadmap. What it needs now is the person who owns the data that makes all of it possible. That person reports directly to the COO. The decisions they make in the next twelve months will determine what Healf can and cannot do at scale.
What you will own
- Healf's master data, end to end. Source data quality, governance, and structure from supplier intake through to analytics. You are the single owner. The standard starts and ends with you.
- The product data operating model. Formalise ownership, SLAs, and escalation paths across every team that touches product data. Make it clear who is responsible for what — and make sure it holds.
- The data quality infrastructure. Live dashboards tracking data quality, onboarding performance, and compliance indicators. Reported directly to the COO. You build the visibility that lets the business act before problems cascade.
- The PIM architecture for international growth. Map systems and product data flows across markets. Ensure that operational data can be translated into downstream use for each new country without error, without delay, and without manual firefighting.
- The systems map. Understand how data moves from supplier intake through to every downstream output. Find where it breaks. Fix it. Build the architecture that doesn't break again.
Why you're Healf
You have been the true owner of master data somewhere before. Not the person who monitored it or inherited a clean system and kept it running. The person who built the governance, set the standards, and was accountable when the data was wrong.
You communicate technical knowledge in a way that non‑technical people understand and act on. Data management is not an abstract discipline to you. You can explain what a bad product record costs the business in terms that a commercial team, a logistics team, and a COO all find compelling.
You have done this in a high-growth or transformation environment. You know what it feels like to build structure where none existed — and you prefer it that way. A mature, well‑resourced data team with established systems is not the environment that excites you. The blank canvas is.
You are systems‑minded in a way that goes beyond the data itself. You see how the data flows, where it originates, where it breaks, and what it touches downstream. You don't fix symptoms; you fix architecture.
You move with urgency. Healf is going international. The timeline is not abstract. The person in this role needs to be operational fast — and needs to understand that the cost of delay is measured in failed launches and held shipments, not just messy spreadsheets.
Show us
- A master data system or governance framework you built from scratch. What was the state when you arrived, what did you design, and what did the business look like after?
- A data quality failure that had real commercial consequences. What happened, how did you find it, and what did you put in place so it couldn't happen again?
- Evidence that you have owned data in a high-growth or transformation environment — not just maintained it in a stable one. What did building from scratch actually look like?
- A moment where you translated a complex data problem into a decision a non‑technical stakeholder could act on. How did you frame it?
- Something that tells us wellbeing is personal for you, not just professional.
The deal
£55,000 – £85,000 depending on experience. We ask a great deal of the people who work here. We expect full ownership and a genuine commitment to give this chapter everything you have. In return, we will give you the same: everything we have, invested in your growth, your wellbeing, and the defining skills of the next decade.
We have built the fastest-growing company in Europe with a team small enough that every person in it shapes the outcome. That is still true today. The next person we hire will change the trajectory of what we're building. If the most important work of your career is ahead of you, this is the place to do it.
Healf is launching in a new European market in three months. The product catalogue has 2,000 SKUs across 100+ brands. The data has never been validated against the compliance requirements of the new market and there is no PIM in place. You have eight weeks before the first shipment needs to leave. Where do you start, and how do you decide what gets fixed first? 200 words. Plain English. No templates. Show us how you think.
Master Product Data Lead in London employer: Healf
Healf is an exceptional employer, offering a dynamic and fast-paced work environment where every team member plays a crucial role in shaping the future of wellbeing technology. With a strong focus on employee growth, competitive compensation, and a culture that values innovation and collaboration, Healf empowers its employees to take ownership of their projects while providing the resources and support needed to thrive. Located in a vibrant area, the company fosters a sense of community and purpose, making it an ideal place for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Master Product Data Lead in London
✨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 Healf!
✨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 Master Product Data Lead at Healf.
✨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 Healf.
✨Apply Directly through Our Website
When you find a suitable opening like Master Product Data Lead at Healf, 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 Master Product Data Lead in London
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 Healf, 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 Healf. 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 Healf
✨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 Healf!
✨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.