At a Glance
- Tasks: Lead the data strategy and modernise cloud data architecture for a transformative healthtech platform.
- Company: Well-funded, mission-driven healthtech scale-up with global backing.
- Benefits: Competitive salary, impactful work, and the chance to shape healthcare innovation.
- Other info: Join during a critical growth phase with excellent career advancement opportunities.
- Why this job: Own a unique dataset and drive AI-native features that enhance lives.
- Qualifications: Experience in cloud data platforms and managing technical teams.
The predicted salary is between 80000 - 100000 € per year.
You will spearhead the data strategy for a high-growth platform transforming care delivery. By leading the modernization of cloud data architecture and production ML infrastructure, you will turn massive datasets into actionable insights for providers. This leadership role bridges technical engineering and product innovation to drive tangible outcomes in a scaling environment.
Location: London, UK
Why this role is remarkable:
- Lead a net-new strategic function with full ownership over a massive, proprietary dataset that is unparalleled in the specialized care sector.
- Join a high-growth scale-up backed by top-tier global venture capital firms during a critical phase of international expansion and product evolution.
- Drive high-impact innovation by building the foundation for AI-native features that directly improve quality of life for thousands of individuals.
What You Will Do:
- Architect and modernize a scalable, AI-ready data platform using a modern cloud stack to support production-grade machine learning and analytics.
- Design and ship customer-facing data products that provide external users with deep operational intelligence and predictive benchmarking capabilities.
- Build and mentor a high-performing team of data engineers and scientists, establishing best practices for data contracts and feature stores.
The ideal candidate:
- Proven experience leading the rebuild or significant scale-up of a cloud data platform and managing senior technical individual contributors.
- Deep expertise in productionizing ML infrastructure, including feature stores and training pipelines, specifically for AI-driven product features.
- Strong strategic communication skills with the ability to translate complex data roadmaps into clear business value for executive leadership.
Head of Data at well-funded mission-driven healthtech scale-up in London employer: Jack & Jill
As a well-funded mission-driven healthtech scale-up based in London, we offer an exceptional work environment that fosters innovation and collaboration. Our culture prioritises employee growth, providing opportunities to lead transformative projects that directly impact healthcare delivery. Join us to be part of a dynamic team where your contributions will not only shape the future of our platform but also enhance the quality of life for countless individuals.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data at well-funded mission-driven healthtech scale-up in London
✨Tip Number 1
Network like a pro! Reach out to people in the healthtech space, especially those who work 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
Showcase your skills! Create a portfolio or a personal project that highlights your expertise in data architecture and machine learning. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s mission and values. Be ready to discuss how your experience aligns with their goals, especially around transforming care delivery and driving innovation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Head of Data at well-funded mission-driven healthtech scale-up 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 with cloud data platforms and ML infrastructure, as these are key for us. Use specific examples that showcase your leadership in transforming data strategies.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about healthtech and how you can drive innovation at StudySmarter. Be sure to connect your past experiences with our mission-driven approach.
Showcase Your Technical Skills:We want to see your technical prowess! Include details about your experience with AI-ready data platforms and production-grade machine learning. Don’t just list skills; explain how you've applied them in real-world scenarios.
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to track your application and ensure it reaches the right people!
How to prepare for a job interview at Jack & Jill
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data architecture and machine learning infrastructure. Brush up on your knowledge of cloud platforms and be ready to discuss how you would modernise a data platform, as this role is all about turning massive datasets into actionable insights.
✨Showcase Your Leadership Skills
This position involves building and mentoring a team, so be prepared to share examples of how you've successfully led teams in the past. Highlight your experience in establishing best practices and how you’ve driven innovation in previous roles.
✨Communicate Clearly and Strategically
You’ll need to translate complex data concepts into business value for executive leadership. Practice explaining your past projects in simple terms, focusing on the impact they had on the organisation. This will demonstrate your strategic communication skills.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific challenges related to data strategy and product innovation. Think through potential scenarios where you might need to make tough decisions or pivot strategies, and be ready to articulate your thought process.
