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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: Enjoy a fully remote role with competitive salary, equity, and comprehensive benefits.
- Other info: Collaborative environment with opportunities for professional growth and innovation.
- Why this job: Join a pivotal moment in AI development and make a real impact on product evolution.
- Qualifications: Proven experience in leading data functions and building modern data platforms.
The predicted salary is between 80000 - 100000 £ per year.
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 - FULLY 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 - FULLY REMOTE in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving AI and ML. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with data platforms and the end-to-end ML lifecycle. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a better chance of getting noticed. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Head of Data - FULLY REMOTE in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Head of Data. Highlight your experience in leading data functions and any work you've done with AI and data platforms. We want to see how your background aligns with our goals!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and AI, and how you can help us shape our product. Be genuine and let your personality come through – we love that!
Showcase Your Achievements: When detailing your experience, focus on specific achievements that demonstrate your ability to build or scale data platforms. Numbers and results speak volumes, so don’t hold back on sharing your successes!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at StudySmarter!
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 contribute to stabilising and structuring the function. Being able to discuss specific examples of your past experiences with data platforms will show that you're ready to take ownership.
✨Showcase Your AI Ambitions
Since the role involves moving towards an AI-native product, be prepared to discuss your experience with production-grade machine learning. Bring examples of how you've operationalised AI in previous roles and how you envision embedding data into user workflows. This will demonstrate your alignment with their early-stage AI ambitions.
✨Highlight Your Leadership Style
As the most senior data leader, your ability to lead a team is crucial. Be ready to share your leadership philosophy and how you've successfully built or scaled teams in the past. Discuss how you plan to foster collaboration between data, engineering, and product teams to drive business value.
✨Prepare for Technical Assessments
Brush up on your SQL skills and be ready for technical assessments related to AI and data depth. Practice common SQL queries and think through the end-to-end ML lifecycle, from problem identification to deployment and monitoring. This preparation will help you feel confident and showcase your technical expertise during the interview.