At a Glance
- Tasks: Lead the strategy for a groundbreaking data upskilling portfolio and enhance learner retention.
- Company: Join a highly-funded EdTech unicorn transforming workforce education with AI.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborate with C-suite leaders and influence the future of technical education.
- Why this job: Shape the future of education by integrating cutting-edge AI into learning models.
- Qualifications: Expertise in modern data stack and experience in launching complex learning products.
The predicted salary is between 80000 - 100000 £ per year.
Highly-funded EdTech unicorn redefining workforce upskilling through applied learning and AI-integrated apprenticeships.
You will own the strategic roadmap for a premier UK data upskilling portfolio. By bridging the gap between GTM discovery and technical curriculum design, you'll ensure products meet the modern data stack's demands. This role is pivotal in scaling high-impact learning models that leverage AI and advanced analytics to reshape the professional landscape.
Location: London, UK
Why this role is remarkable:
- Lead the strategy for a category-defining data product at a high-growth scale-up that is disrupting traditional higher education models.
- Influence at the highest level by collaborating directly with C-suite stakeholders and Chief Data Officers at blue-chip client organizations.
- Shape the future of technical education by integrating cutting‑edge AI workflows and synchronous learning models into a world‑class curriculum.
What You Will Do:
- Own the Data product roadmap and key performance metrics, proactively scoping new releases to drive bookings and enhance learner retention.
- Serve as the technical point of contact for GTM teams, supporting complex deal structures and tooling partnerships to align products with enterprise needs.
- Manage and prioritize the learning squad’s backlog, ensuring compliant apprenticeship curricula meet high quality benchmarks through rigorous feedback loops.
The ideal candidate:
- Possesses deep domain expertise in the modern data stack, including a clear understanding of data warehousing, data lakes, and essential libraries for machine learning.
- Has a proven track record of launching and iterating complex learning products or technical curricula within a cross‑functional, agile environment.
- Demonstrates exceptional communication skills with the ability to translate technical specifications into compelling ROI narratives for senior business leaders.
Portfolio Lead at High-Growth EdTech Unicorn employer: Jack & Jill
Join a highly-funded EdTech unicorn in London, where you'll play a crucial role in shaping the future of workforce upskilling through innovative AI-integrated apprenticeships. Our dynamic work culture fosters collaboration with C-suite stakeholders, offering unparalleled opportunities for professional growth and influence in the education sector. With a commitment to cutting-edge learning models and a focus on employee development, we provide a rewarding environment for those looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Portfolio Lead at High-Growth EdTech Unicorn
✨Tip Number 1
Network like a pro! Reach out to people in the EdTech space, especially those who work at companies you admire. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your expertise! Create a portfolio that highlights your experience with data upskilling and AI-integrated learning models. This will help you stand out when you’re chatting with potential employers.
✨Tip Number 3
Prepare for interviews by understanding the company’s mission and how they’re disrupting traditional education. Be ready to discuss how your skills align with their goals and how you can contribute to their success.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Portfolio Lead at High-Growth EdTech Unicorn
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Portfolio Lead. Highlight your experience with data upskilling and any relevant projects that showcase your ability to bridge technical curriculum design with market needs.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about reshaping education through AI and how your background aligns with our mission at StudySmarter. Be genuine and let your personality come through.
Showcase Your Achievements:When detailing your past roles, focus on specific achievements that demonstrate your impact. Use metrics where possible to show how you've driven bookings or enhanced learner retention in previous positions.
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 this exciting opportunity to lead in the EdTech space!
How to prepare for a job interview at Jack & Jill
✨Know Your Data Stack
Make sure you brush up on your knowledge of the modern data stack, including data warehousing and machine learning libraries. Being able to discuss these topics confidently will show that you have the deep domain expertise they’re looking for.
✨Showcase Your Strategic Thinking
Prepare to discuss how you would own the data product roadmap. Think about specific examples from your past experience where you’ve successfully launched or iterated on complex learning products. This will demonstrate your ability to drive bookings and enhance learner retention.
✨Communicate Like a Pro
Practice translating technical jargon into compelling narratives. You’ll need to impress C-suite stakeholders, so being able to articulate the ROI of your ideas in a clear and engaging way is crucial. Consider rehearsing with a friend or mentor.
✨Be Ready for Collaboration
This role involves working closely with GTM teams and managing a learning squad’s backlog. Prepare examples of how you’ve successfully collaborated in cross-functional teams and how you prioritised tasks to meet high-quality benchmarks.
