At a Glance
- Tasks: Lead data strategy and modernise cloud 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 AI-driven features.
- Other info: Join during a critical growth phase with excellent career advancement opportunities.
- Why this job: Own a unique dataset and drive innovation that improves lives globally.
- 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 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 ample opportunities for professional development while working on transformative projects that directly impact healthcare delivery. Join us to lead a pioneering data strategy and be part of a team dedicated to improving the quality of life for thousands through cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data at well-funded mission-driven healthtech scale-up
✨Tip Number 1
Network like a pro! Reach out to folks in the healthtech space, especially those who are already working at companies you admire. 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 not only demonstrates your capabilities but also gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by diving deep into the company’s mission and values. Be ready to discuss how your vision aligns with their goals, especially around transforming care delivery and improving quality of life.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Head of Data at well-funded mission-driven healthtech scale-up
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 well as any leadership roles you've held. We want to see how your skills align with our mission-driven approach!
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 you can drive innovation in our scaling environment. Be sure to mention specific projects or achievements that showcase your expertise.
Showcase Your Leadership Skills:Since this role involves building and mentoring a team, make sure to highlight your leadership experience. Share examples of how you've successfully led teams in the past and the impact you've made on their performance and growth.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Jack & Jill
✨Know Your Data Inside Out
Before the interview, dive deep into the company's data strategy and understand their current cloud architecture. Familiarise yourself with their mission-driven approach and think about how you can leverage your experience to modernise their data platform.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led teams in the past, especially in high-growth environments. Be ready to discuss how you’ve built and mentored data engineers and scientists, and how you established best practices that drove results.
✨Communicate Complex Ideas Simply
Practice explaining complex data concepts in a way that’s easy for non-technical stakeholders to understand. This will demonstrate your strategic communication skills and show that you can bridge the gap between technical engineering and product innovation.
✨Be Ready to Discuss AI Innovations
Since this role involves building AI-native features, come prepared with insights on the latest trends in AI and machine learning. Think about how you can apply these innovations to improve care delivery and enhance user experience.
