At a Glance
- Tasks: Lead and shape a high-performing Data Services function with a focus on AI and analytics.
- Company: A forward-thinking organisation combining data, technology, and innovation for smarter business decisions.
- Benefits: Competitive salary up to £95,000 plus benefits in a hybrid work environment.
- Other info: Opportunity to mentor teams and influence senior decision-makers.
- Why this job: Drive strategy and innovation while making a measurable impact in a collaborative culture.
- Qualifications: Strong leadership in data disciplines and experience with AI-enhanced services.
The predicted salary is between 95000 - 95000 £ per year.
- Head of Data Services
- London (Hybrid) | Up to £95,000 + Benefits
This is an exciting opportunity to lead and shape a high-performing Data Services function at a forward-thinking organisation.
You will drive strategy across Business Intelligence, Data Science, Digital Analytics, and Marketing Technology, while playing a key role in embedding AI-driven ways of working and delivering measurable commercial impact.
The Company
They are a well-established organisation that combines data, technology, and innovation to help clients make smarter business decisions.
With a strong focus on analytics and AI, they continue to invest in their data capabilities and maintain a collaborative, growth-oriented culture.
The business works with a diverse portfolio of clients and is committed to delivering high-quality, data-led solutions at scale.
The Role
You will
- Lead the strategy, roadmap, and delivery standards across Data Services.
- Drive the adoption of AI-enabled processes, tools, and methodologies.
- Oversee Business Intelligence, Data Science, Digital Analytics, and Marketing Technology capabilities.
- Own and contribute to commercial growth, including client expansion opportunities and new business activity.
- Provide technical leadership and governance across analytics, measurement, and data solutions.
- Develop and mentor senior leaders and specialist teams.
- Build strong relationships with senior stakeholders and communicate complex concepts to non-technical audiences.
- Represent the data function internally and externally, helping to establish market-leading capability.
- Your Skills & Experience
You will have
- Strong leadership experience across multiple data disciplines, including analytics, business intelligence, and data science.
- Technical credibility across data and measurement technologies.
- A practical understanding of how AI can enhance data services and operational delivery.
- Experience owning commercial objectives and identifying growth opportunities.
- Strong stakeholder management skills and the ability to influence senior decision-makers.
- A track record of building, developing, and leading high-performing teams.
- Excellent communication skills with both technical and non-technical audiences.
How to Apply If you are an experienced data leader looking to drive strategy, innovation, and commercial growth, please apply today to discuss this opportunity in more detail.
Head of Data Servies in London employer: Harnham - Data & Analytics Recruitment Careers
As a leading consumer retail organisation based in London, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and the opportunity to lead transformative digital initiatives, all while enjoying a competitive salary and bonus structure. Join us to be part of a forward-thinking team that values your contributions and empowers you to drive meaningful change in a rapidly evolving market.
Contact Details:
Harnham - Data & Analytics Recruitment Careers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Servies 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 Harnham - Data & Analytics Recruitment Careers!
✨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 Head of Data Servies at Harnham - Data & Analytics Recruitment Careers.
✨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 Harnham - Data & Analytics Recruitment Careers.
✨Apply Directly through Our Website
When you find a suitable opening like Head of Data Servies at Harnham - Data & Analytics Recruitment Careers, 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 Servies 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 Harnham - Data & Analytics Recruitment Careers, 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 Harnham - Data & Analytics Recruitment Careers. 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 Harnham - Data & Analytics Recruitment Careers
✨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 Harnham - Data & Analytics Recruitment Careers!
✨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.