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For Companies At a Glance
- Tasks: Lead a dynamic team to create AI solutions for healthcare challenges.
- Company: Join a cutting-edge consultancy transforming UK healthcare with AI and analytics.
- Benefits: Enjoy a competitive salary, hybrid work model, and bonus opportunities.
- Why this job: Make a real impact on patient outcomes while working in an innovative environment.
- Qualifications: Proven leadership in AI or healthcare product development; clinical background preferred.
- Other info: Opportunity for UK travel and collaboration with healthcare professionals.
The predicted salary is between 100800 - 112000 £ per year.
Are you passionate about harnessing AI to solve real-world healthcare challenges? We’re partnering with a specialist AI and advanced analytics consultancy at the forefront of innovation across the UK’s private and public healthcare sectors. They are seeking an exceptional AI Innovation Senior Manager (or Director-level equivalent) to lead and inspire their data science team in shaping the future of health technology.
The role
- Lead a high-performing team of data scientists and engineers within an innovation lab-style environment.
- Work closely with clinical leaders and healthcare stakeholders to identify unmet needs, and drive the design, development, and implementation of PoC and MVP AI solutions.
- Incubate and scale AI and analytics products that address critical healthcare challenges and improve patient outcomes across the UK.
- Own and guide the product development lifecycle - from ideation to MVP to national rollout.
Who we’re looking for
- A proven leader in AI, advanced analytics, or healthcare product development, ideally within a consulting or innovation environment.
- A background that bridges clinical understanding and AI/analytics innovation - perhaps you studied medicine before moving into data-driven roles.
- Experience of working at the intersection of technology and clinical practice, with empathy for the pressures faced by frontline healthcare professionals.
- Excellent stakeholder engagement and influencing skills - you can connect deeply with clinicians, operational teams, and executives alike.
- Comfortable operating in hybrid and client-facing settings, with the ability to travel within the UK.
What’s on offer
- Opportunity to shape impactful AI solutions that directly benefit healthcare providers and patients.
- Work in an agile, collaborative, and mission-driven environment.
- Salary £120-140K + bonus, hybrid model (London base + UK client site travel).
If you are interested in leading innovation that makes a difference, apply now or get in touch for a confidential conversation.
AI Innovation Senior Manager employer: Xpertise Recruitment
Contact Detail:
Xpertise Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Innovation Senior Manager
✨Tip Number 1
Network with professionals in the AI and healthcare sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and leaders in the field. This can help you gain insights into the latest trends and challenges, making you a more attractive candidate.
✨Tip Number 2
Showcase your leadership skills by engaging in relevant projects or initiatives. Whether it's leading a team in a hackathon or volunteering for a healthcare-related AI project, demonstrating your ability to inspire and manage teams will set you apart from other candidates.
✨Tip Number 3
Familiarise yourself with the specific AI solutions currently being implemented in healthcare. Understanding the landscape of existing products and their impact on patient outcomes will allow you to speak knowledgeably about how you can contribute to the company's goals.
✨Tip Number 4
Prepare to discuss your experience with stakeholder engagement. Be ready to share examples of how you've successfully collaborated with clinical leaders and operational teams, as this role requires strong influencing skills to drive innovation in healthcare settings.
We think you need these skills to ace AI Innovation Senior Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI, advanced analytics, and healthcare product development. Emphasise any leadership roles you've held and specific projects that demonstrate your ability to drive innovation in a clinical setting.
Craft a Compelling Cover Letter: In your cover letter, express your passion for using AI to solve healthcare challenges. Discuss how your background bridges clinical understanding and data-driven roles, and provide examples of how you've successfully engaged with stakeholders in previous positions.
Showcase Relevant Projects: Include specific examples of AI solutions or products you have developed or contributed to. Highlight the impact these projects had on patient outcomes or operational efficiency, as this will resonate with the company's mission.
Prepare for Interviews: If selected for an interview, be ready to discuss your approach to leading teams and driving product development. Prepare to share insights on how you would identify unmet needs in healthcare and translate them into innovative AI solutions.
How to prepare for a job interview at Xpertise Recruitment
✨Showcase Your Leadership Experience
As a candidate for the AI Innovation Senior Manager role, it's crucial to highlight your leadership experience. Be prepared to discuss specific examples of how you've led teams in previous roles, particularly in data science or healthcare settings, and how you inspired innovation within those teams.
✨Demonstrate Clinical Understanding
Given the importance of bridging clinical understanding with AI innovation, make sure to articulate your background in healthcare. Share any relevant experiences that showcase your ability to empathise with healthcare professionals and understand their challenges.
✨Prepare for Stakeholder Engagement Scenarios
Expect questions about stakeholder engagement and influencing skills. Prepare scenarios where you've successfully connected with clinicians, operational teams, or executives, and be ready to discuss how you navigated those relationships to drive project success.
✨Discuss Your Approach to Product Development
Since the role involves owning the product development lifecycle, be ready to explain your approach from ideation to MVP and national rollout. Discuss any frameworks or methodologies you prefer and how you've applied them in past projects to achieve successful outcomes.
