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For Companies At a Glance
- Tasks: Lead the data strategy for a world-renowned football club and shape fan engagement.
- Company: Join a prestigious football club with a global fanbase and innovative data initiatives.
- Benefits: Enjoy a £120,000 salary, private healthcare, and a chance to influence data vision.
- Why this job: Make a real impact in sports by transforming how data drives fan engagement.
- Qualifications: Proven experience in data strategy, strong technical skills, and leadership background.
- Other info: Hybrid work model with opportunities for professional growth in a dynamic environment.
The predicted salary is between 96000 - 144000 £ per year.
Job Description
HEAD OF DATA & ANALYTICS
LONDON – HYBRID (4 DAYS PER WEEK IN OFFICE)
SALARY – £120,000
THE COMPANY
A world-renowned football club with a global fanbase and a growing commercial and digital footprint is expanding its data function to better understand, engage, and serve supporters worldwide!
THE ROLE
This senior position will lead the club’s central data function, overseeing fan data strategy, infrastructure, and analytics capability. You’ll be responsible for shaping how the club captures, governs, and activates data to inform strategic decision-making across every part of the organisation.
Key Responsibilities:
- Lead and evolve the club’s fan data strategy in line with commercial objectives.
- Oversee the centralised data platform (GCP), integrating data from ticketing, merchandising, hospitality, and digital sources.
- Ensure data governance and compliance frameworks are maintained across all systems.
- Build and standardise reporting and KPIs using Power BI and Omni.
- Deploy predictive analytics and machine learning models (e.g. CLV, propensity scoring).
- Support major transformation projects, including:
- Finance ERP system integration
- Fan engagement enhancement via CDP
- Club-wide reporting rollout
- F&B and digital journey optimisation initiatives
- Act as SME on data infrastructure design and cross-functional collaboration.
YOUR SKILLS AND EXPERIENCE
- Proven experience leading data strategy and platform development within a complex, multi-stakeholder environment.
- Strong technical grounding across:
- GCP
- SQL and Python
- Power BI or Omni
- DBT and Docker (preferred)
- Excellent stakeholder management and communication skills.
- Experience with web and app event tracking, and delivering predictive analytics projects.
- Leadership background with experience growing and managing data teams.
BENEFITS
- £120,000 base salary
- Private healthcare
- Opportunity to shape the data vision of one of the world’s leading football clubs
HOW TO APPLY
Express your interest by sending your CV to Theo via the apply link on this page.
Head of Data employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to the football club. Use LinkedIn to connect and engage with them; you never know who might put in a good word for you!
✨Tip Number 2
Prepare for interviews by researching the club's data initiatives. Show us that you understand their fan data strategy and how your skills can elevate it. Tailor your examples to demonstrate your experience with GCP, SQL, and predictive analytics.
✨Tip Number 3
Practice your storytelling! When discussing your past projects, frame them in a way that highlights your leadership and technical skills. We want to hear how you’ve driven change and made an impact in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows your enthusiasm for joining the team at one of the world’s leading football clubs!
We think you need these skills to ace Head of Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your leadership in data strategy and any relevant technical skills like GCP, SQL, or Power BI. We want to see how you can fit into our world-renowned football club!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can help us engage with our global fanbase. Be sure to mention any specific projects that align with our goals, like predictive analytics or fan engagement strategies.
Showcase Your Achievements: When detailing your experience, focus on quantifiable achievements. Did you lead a successful data project? How did it impact the organisation? We love numbers and results, so make sure to include them to demonstrate your impact!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Harnham
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in data strategy and analytics. Brush up on your knowledge of GCP, SQL, Python, and Power BI, as these will likely come up during the interview. Being able to discuss how you've applied these tools in previous roles will show your expertise.
✨Showcase Your Leadership Skills
As a Head of Data, you'll need to demonstrate your ability to lead and manage teams effectively. Prepare examples of how you've successfully led data projects or initiatives in the past, focusing on your stakeholder management and communication skills. This will help the interviewers see you as a strong candidate for leading their data function.
✨Align with Their Vision
Research the football club’s current data initiatives and commercial objectives. Be ready to discuss how your vision for fan data strategy aligns with theirs. Showing that you understand their goals and can contribute to them will set you apart from other candidates.
✨Prepare for Technical Questions
Expect some technical questions related to data governance, predictive analytics, and machine learning models. Brush up on your knowledge of CLV and propensity scoring, and be prepared to discuss how you would approach integrating various data sources. This will demonstrate your readiness to tackle the challenges of the role.
