At a Glance
- Tasks: Lead a data team to create impactful customer-facing products and insights.
- Company: Dynamic B2B SaaS company focused on operational excellence.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborate closely with founders and cross-functional teams in a fast-paced environment.
- Why this job: Shape the future of data as a product and drive real customer value.
- Qualifications: Proven experience in leading data teams and delivering valuable analytics products.
The predicted salary is between 80000 - 100000 £ per year.
Ship customer-facing value. Don't run the back-office reporting team. Six months in, here is the test: do colleagues build on our data with confidence, or work around it? The platform sits on a rich operational dataset built over years of real use. The customer base spans operational managers, commercial leaders, finance teams, planners and leadership, each valuing different insights. The opportunity is to turn that data into a customer-facing product, not internal dashboards. Most data leadership roles offer a fragment of that combination. This one offers all of it. Data here is a product and a growth lever, not a cost centre. AI is a roadmap question, not a bolt-on. And the dataset is the kind that lets a specialist platform open a clear data advantage in its market, if the right person is shaping it.
What you would actually do:
- Lead and develop the existing data team across analytics and engineering capability, lifting them into stronger builders, commercial thinkers and operators.
- Define and deliver the roadmap for customer-facing dashboards, reporting and insight products.
- Translate distinct persona needs into shipped value.
- Identify the highest-value opportunities to use data for retention, expansion and differentiation.
- Build practical models, alerts and recommendations into the product experience.
- Own the continued development of the data platform, lake and warehouse foundations.
- Create a clean, well-structured data model that underpins both reporting and future AI capability.
- Help shape the practical AI roadmap from a data perspective.
- Separate genuine product opportunities from hype.
- Partner closely with Product and Engineering leadership to ship data products and intelligence features.
- Reduce founder dependency by building customer and data insight into the organisation rather than into the founder's head.
What you bring:
- A track record leading Data in a strong B2B SaaS or operational software environment, ideally one operationally complex.
- A history of shipping reporting or analytics products that customers actually use and pay for, not just internal dashboards.
- Comfort balancing data engineering foundations with fast commercial wins. You know how to sequence them.
- Strong persona-driven thinking. You understand that operational managers, commercial leaders and finance teams each value different insight.
- A pragmatic view on AI. You have shipped embedded intelligence in products and can separate real opportunities from hype.
- Comfort working closely with a founder who carries deep customer and market expertise. You pull insight out, you do not wait to be briefed.
Head of Data employer: Nobul Resourcing Solutions
As the Head of Data at our innovative company, you will thrive in a dynamic work culture that prioritises collaboration and creativity, allowing you to shape data into impactful customer-facing products. We offer exceptional growth opportunities, a commitment to professional development, and the chance to work with a rich operational dataset that empowers you to drive meaningful change in the B2B SaaS landscape. Join us in a location that fosters a vibrant community, where your contributions will be valued and recognised, making this an excellent place for those seeking a rewarding career in data leadership.
Contact Details:
Nobul Resourcing Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data
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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 Nobul Resourcing Solutions.
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When you find a suitable opening like Head of Data at Nobul Resourcing Solutions, 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 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 Nobul Resourcing Solutions, 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 Nobul Resourcing Solutions. 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 Nobul Resourcing Solutions
✨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 Nobul Resourcing Solutions!
✨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.
