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- Tasks: Lead the data function, shaping AI and data strategies for product innovation.
- Company: Dynamic tech company at the forefront of AI and data solutions.
- Benefits: Competitive salary, equity, pension, private healthcare, and a full benefits package.
- Other info: Remote work with a hybrid model, offering excellent career growth opportunities.
- Why this job: Join a pivotal role in transforming data into a competitive advantage.
- Qualifications: Experience in leading data functions and building modern data platforms.
The predicted salary is between 80000 - 100000 £ per year.
Location: London (Hybrid – 2–3 days per week)
Bonus, equity, pension, private healthcare + full benefits package
They’re at an interesting inflection point where they’ve built a platform used at significant scale, supporting millions of real-world interactions, and are now entering the next phase of growth which is moving toward an AI-native product.
The data exists. You’ll be stepping into a function currently supported by a team of 4 Analytics Engineers, working across data, reporting and business insight. You’ll operate as the most senior data leader, partnering closely with Engineering, Product and senior leadership to define how data and AI shape the product moving forward.
Initial focus will be on stabilising and structuring the function, before building out a longer-term team across data engineering, analytics and data science.
The foundations are modern, but the challenges are around:
- No clearly defined long-term roadmap
- Early-stage AI ambition not yet operationalised
This isn’t a traditional Head of BI or reporting-led role.
- Data platform (foundations, pipelines, governance)
- Data science / AI (production-grade ML, not experimentation)
- Product (embedding data into user workflows)
Experience leading data functions or operating at Head/Lead level in a product-led environment:
- Data platform / engineering or Data science / ML (with production experience)
- Proven experience building or scaling modern data platforms
- Experience owning or contributing to end-to-end ML lifecycle (problem → deployment → monitoring)
- Comfortable working with messy, multi-source, real-world data
- Strong commercial awareness - able to prioritise based on business value
- Take ownership of the data function
- Improve self-serve data access
- Strengthen platform foundations (pipelines, governance, reliability)
- Deliver AI-enabled product capability
- Productionise ML into real workflows
- Build data as a competitive advantage across the business
Technical Assessment (SQL + AI / Data depth)
Head of Data (Remote) in City of London employer: WeDo
Contact Detail:
WeDo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data (Remote) in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in data roles. Use platforms like LinkedIn to connect and engage with them. You never know who might have the inside scoop on job openings or can refer you directly!
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Since this role involves SQL and AI, make sure you're comfortable discussing your experience with data platforms and ML. Practise explaining complex concepts in simple terms – it shows you can communicate effectively with non-technical stakeholders.
✨Tip Number 3
Showcase your leadership skills! When discussing your past experiences, highlight how you've built or scaled data functions. Talk about specific challenges you've faced and how you overcame them. This will demonstrate your ability to take ownership of the data function and lead a team.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to reflect your understanding of the company's goals, especially around AI and data-driven products. It’ll make you stand out from the crowd!
We think you need these skills to ace Head of Data (Remote) in City of London
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data and AI shine through. We want to see how your experience aligns with our mission of building a robust data platform that supports real-world interactions.
Tailor Your Experience: Make sure to highlight your relevant experience in leading data functions or working in product-led environments. We’re looking for someone who can take ownership and improve our data capabilities, so connect your past roles to what we need!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, especially when it comes to your achievements in data engineering, analytics, or AI. Use bullet points if it helps make your skills stand out!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at WeDo
✨Know Your Data Inside Out
Before the interview, dive deep into the company's data platform and understand its architecture. Familiarise yourself with their current challenges and think about how you can stabilise and structure the function. Being able to discuss specific examples of how you've tackled similar issues in the past will show your expertise.
✨Showcase Your AI Vision
Since this role is focused on moving towards an AI-native product, come prepared with ideas on how to operationalise AI within the existing framework. Think about the end-to-end ML lifecycle and be ready to discuss how you would integrate AI into user workflows, making it a competitive advantage for the business.
✨Demonstrate Leadership Experience
As the most senior data leader, you'll need to showcase your experience in leading data functions. Prepare examples of how you've built or scaled modern data platforms and led teams in a product-led environment. Highlight your ability to collaborate with Engineering and Product teams to drive data initiatives.
✨Prepare for Technical Assessments
Brush up on your SQL skills and be ready for technical assessments that may come your way. Understand the nuances of working with messy, multi-source data and be prepared to discuss how you would improve self-serve data access and strengthen platform foundations. This will demonstrate your hands-on capability and readiness for the role.