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For Companies At a Glance
- Tasks: Lead the data function and drive AI integration in a mission-driven HealthTech company.
- Company: Join a high-growth Tech 4 Good SaaS business impacting millions of lives.
- Benefits: Enjoy a competitive salary, bonus, equity, and comprehensive health benefits.
- Other info: Dynamic role with opportunities for growth and innovation in AI and data.
- Why this job: Make a real difference by shaping data strategies that enhance user experiences.
- Qualifications: Experience in leading data functions with a strong focus on product-led environments.
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 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 City of London employer: WeDo
Contact Detail:
WeDo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the HealthTech and SaaS industries, especially those who work at companies similar to Wedo. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Prepare for those technical assessments! Brush up on your SQL skills and get familiar with AI and data concepts. We recommend doing some mock interviews or coding challenges to boost your confidence before the big day.
✨Tip Number 3
Showcase your strategic thinking! When you get to the leadership deep dive, be ready to discuss how you would stabilise and structure the data function. Think about real-world examples where you've made an impact and be prepared to share them.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, if you have any questions, feel free to reach out directly – we’re here to help you succeed!
We think you need these skills to ace Head of Data 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 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 explain why you're passionate about HealthTech and how your skills align with our goals. We love seeing genuine enthusiasm for making a positive impact on millions of lives.
Showcase Your Achievements: When detailing your experience, focus on specific achievements that demonstrate your ability to lead data functions and drive results. We’re looking for someone who can turn data into a competitive advantage, so let us know how you've done this before!
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’s super easy – just a few clicks and you’re in!
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 capabilities. Prepare examples of how you've built or scaled data teams before. Think about how you can convey your experience in defining team structures and prioritising tasks to drive business value.
✨Align with Their Mission
Wedo is all about making a positive impact. Make sure you express your passion for mission-driven work and how your background aligns with their goals. Share specific instances where your data initiatives have led to meaningful outcomes.
✨Prepare for Technical Assessments
Expect a technical assessment focusing on SQL and AI/data depth. Brush up on your SQL skills and be prepared to discuss the end-to-end ML lifecycle. Practise explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.