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- Tasks: Lead the data function and drive AI integration in a mission-driven HealthTech company.
- Company: Join a high-growth, product-led Tech 4 Good SaaS business making a real-world impact.
- Benefits: Enjoy a competitive salary, bonus, equity, private healthcare, and a full benefits package.
- Other info: Dynamic hybrid work environment with opportunities for career growth and innovation.
- Why this job: Shape the future of data and AI while positively impacting millions of lives.
- Qualifications: Experience in leading data functions with a strong background in data platforms or data science.
The predicted salary is between 120000 - 150000 £ per year.
Role: Head of Data (AI & Data Platform)
Industry: HealthTech / SaaS
Location: London (Hybrid – 2–3 days per week)
Salary: £120,000 – £150,000 basic
Benefits: Bonus, equity, pension, private healthcare + full benefits package
The company:
Wedo has partnered with a high-growth, product-led Tech 4 Good SaaS business. The platform positively impacts hundreds of millions of lives each 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. The opportunity is clear. Now they need someone to turn that into a genuine competitive advantage so they can gain market share.
The team:
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.
Current environment:
Stack: Snowflake, dbt, Looker, Fivetran. The foundations are modern, but the challenges are around:
- Ownership and structure
- Reporting consistency and trust
- Reactive analytics workload
- Limited self-serve capability
- No clearly defined long-term roadmap
- Early-stage AI ambition not yet operationalised
How they define the role:
This isn’t a traditional Head of BI or reporting-led role. They’re looking for someone who can sit across:
- Data platform (foundations, pipelines, governance)
- Data science / AI (production-grade ML, not experimentation)
- Product (embedding data into user workflows)
Your experience:
- Experience leading data functions or operating at Head/Lead level in a product-led environment
- Strong background across either: 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
- Experience working closely with Product and Engineering on complex systems
- Able to operate at both strategic and hands-on levels
What you’ll be doing:
- 0–6 months: Take ownership of the data function, improve trust in reporting and consistency of metrics, reduce reactive reporting demand, assess team and define future structure, introduce prioritisation and operating model
- 6–12 months: Evolve customer and internal analytics capability, improve self-serve data access, strengthen platform foundations (pipelines, governance, reliability), begin hiring and scaling the team
- 12 months+: Deliver AI-enabled product capability, productionise ML into real workflows, build data as a competitive advantage across the business
Hiring Process:
- 1st Stage: Intro / Qualification Call (Wedo)
- 2nd Stage: Technical Assessment (SQL + AI / Data depth)
- 3rd Stage: Leadership Deep Dive (impact-focused)
- 4th Stage: Strategy Presentation (role-specific brief)
- Final Stage: CEO Interview
To apply, please connect with Pierrick Rodriguez and hit apply today. Don’t feel like you hit everything above? Still apply; the right mindset and experience in the right areas matters more than ticking every box. If you want more information, feel free to reach out directly.
Head of Data in London employer: WeDo
Contact Detail:
WeDo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data leadership. Think about how you’d tackle challenges like improving reporting consistency or building a data-driven culture. We want you to shine!
✨Tip Number 3
Showcase your passion for the mission! When discussing your experience, link it back to how you can positively impact lives through data. Companies love candidates who align with their values and vision.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for talent that can help us grow and innovate in the HealthTech space.
We think you need these skills to ace Head of Data in 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 data platforms and AI, and don’t forget to showcase any leadership roles you've had. We want to see how you can bring value to our mission-driven team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about HealthTech and how your background aligns with our goals. Be genuine and let your personality come through – we love seeing the real you!
Showcase Relevant Projects: If you've worked on projects that involved data engineering or AI, make sure to mention them! We’re interested in your hands-on experience and how you've tackled challenges in the past. This will help us understand your approach and problem-solving skills.
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 us you’re proactive and keen to join our team!
How to prepare for a job interview at WeDo
✨Know Your Data Inside Out
As a Head of Data, you’ll need to demonstrate a deep understanding of data platforms and AI. Brush up on your knowledge of Snowflake, dbt, Looker, and Fivetran. Be ready to discuss how you've tackled messy, multi-source data in the past and how you can improve reporting consistency.
✨Showcase Your Leadership Skills
This role requires strong leadership, so prepare examples of how you've built or scaled data teams before. Think about how you’ve partnered with Product and Engineering to drive data initiatives and be ready to share specific outcomes from those collaborations.
✨Prepare for Technical Assessments
Expect a technical assessment focusing on SQL and your depth in AI and data. Brush up on your SQL skills and be prepared to discuss the end-to-end ML lifecycle. Practising real-world scenarios will help you articulate your thought process during the assessment.
✨Craft a Compelling Strategy Presentation
For the strategy presentation stage, think about how you would stabilise and structure the data function. Outline your vision for embedding data into user workflows and how you plan to deliver AI-enabled product capabilities. Make sure your ideas align with the company’s mission-driven approach.