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- Tasks: Lead the development of an ML/AI patient triage platform in a dynamic start-up environment.
- Company: Join a groundbreaking Mental Health start-up recognised as Start-up & App of the Year.
- Benefits: Enjoy a competitive salary, equity options, and flexible office days in Central London.
- Why this job: Make a real impact in mental health while tackling exciting technical challenges.
- Qualifications: Must have HealthTech experience, especially in mental health, with deep AI and data expertise.
- Other info: Opportunity to shape the future of mental health care with innovative technology.
The predicted salary is between 104000 - 224000 £ per year.
Salary: roughly £130-160k + equity
Location: Central London (2-3 office days/week)
Industry: HealthTech (Mental Health)
We're partnering with a very exciting Mental Health start-up who are building a comprehensive mental health platform with both free direct-to-consumer as well as B2B offerings. Having recently partnered with the biggest healthcare provider in the world, and been named Start up & App of the year, they're well positioned for rapid growth.
They're looking for VP/Head of Data & AI to spearhead the development of an ML/AI patient triage platform - we're looking for a technical (hands-on) leader with experience working in the HealthTech space (ideally mental health related), in a start-up/scale-up environment.
Technical and Data Challenges:- Managing sensitive conversation data from users discussing mental health issues
- Establishing data privacy and security protocols, especially for B2B partnerships
- Implementing clinical efficacy guardrails for AI systems
- Creating appropriate boundaries between AI companion vs. therapist role
- Developing comprehensive data modelling and analytics capabilities
- HealthTech background is a must have, ideally with experience working on Mental Health products/services
- Deep machine learning, data engineering and AI expertise
- Ability to be hands-on while developing strategic direction (and leading a team in the future)
- Proven track record building data services to enable product innovation
- Experience defining data architecture and governance
- Understanding of clinical safety considerations
Contact Detail:
Wave Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP Data & AI
✨Tip Number 1
Network with professionals in the HealthTech and mental health sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends and challenges in the field.
✨Tip Number 2
Showcase your hands-on experience with machine learning and AI projects. Be prepared to discuss specific examples where you've successfully implemented data solutions, particularly in a start-up or scale-up environment.
✨Tip Number 3
Familiarise yourself with the regulatory landscape surrounding mental health data. Understanding data privacy laws and clinical safety considerations will demonstrate your commitment to ethical practices in the role.
✨Tip Number 4
Prepare to articulate your vision for the future of AI in mental health. Think about how you can leverage technology to improve patient outcomes and enhance the user experience, as this will be crucial in your discussions with the hiring team.
We think you need these skills to ace VP Data & AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in HealthTech, particularly in mental health. Emphasise any relevant projects or roles that showcase your deep machine learning and AI expertise.
Craft a Compelling Cover Letter: In your cover letter, express your passion for mental health and how your background aligns with the company's mission. Discuss your hands-on experience and leadership skills, and how you can contribute to their growth.
Showcase Relevant Projects: If you've worked on projects related to data privacy, security protocols, or AI systems in a clinical context, make sure to include these in your application. Provide specific examples of challenges faced and solutions implemented.
Highlight Leadership Experience: Since this role involves leading a team, be sure to mention any previous leadership roles or experiences where you successfully guided a team through technical challenges, especially in a start-up or scale-up environment.
How to prepare for a job interview at Wave Talent
✨Showcase Your HealthTech Experience
Make sure to highlight your background in HealthTech, especially any experience related to mental health. Discuss specific projects you've worked on and how they relate to the role, as this will demonstrate your understanding of the industry and its unique challenges.
✨Demonstrate Technical Expertise
Be prepared to discuss your deep machine learning, data engineering, and AI expertise. Bring examples of how you've implemented these technologies in previous roles, particularly in a start-up or scale-up environment, to show that you can be hands-on while also leading strategic initiatives.
✨Address Data Privacy and Security
Given the sensitive nature of mental health data, it's crucial to discuss your approach to data privacy and security protocols. Be ready to explain how you've established these in past roles and how you would implement them in this new position.
✨Understand Clinical Safety Considerations
Familiarise yourself with clinical safety considerations relevant to AI systems in mental health. Be prepared to discuss how you would create boundaries between AI companions and therapists, ensuring that the technology supports rather than replaces human interaction.
