At a Glance
- Tasks: Lead AI and data projects in healthcare, transforming services and improving patient outcomes.
- Company: Join EY, a global leader in consulting with a focus on building a better working world.
- Benefits: Competitive salary, inclusive culture, career development, and the chance to make a real impact.
- Other info: Collaborative environment with opportunities for mentorship and professional growth.
- Why this job: Shape the future of healthcare with innovative data solutions and advanced analytics.
- Qualifications: Experience in healthcare data projects and strong analytical skills required.
The predicted salary is between 60000 - 80000 € per year.
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
Overview
At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
EY is experiencing an increasing demand for its Health consulting expertise. We are seeking to expand our team of skilled and experienced Managers who are already delivering impact and value for our health clients across the UK or Ireland. As a Data and Analytics Manager within our Health Practice, you will oversee the end‑to‑end lifecycle of health data, ensuring accuracy, compliance, and meaningful use in service transformation. This includes managing large‑scale NHS datasets and collaborating with clinical and operational teams to enhance data quality and reporting capabilities.
Key Responsibilities
- Lead consulting projects in the healthcare sector, focusing on the application of AI, automation, and advanced analytics to improve productivity, enable digital transformation, and reduce costs.
- Collaborate with clients to understand their healthcare-specific needs and develop tailored analytics and intelligence solutions that address operational, clinical, and strategic challenges.
- Design, build, and deploy data analytics and reporting solutions including automations, predictive and prescriptive analytics and integration with AI solutions and technologies.
- Analyse healthcare systems, policies, and data to identify opportunities for data-driven innovation and improvement.
- Collaborate with NHS clients, operational leaders, digital teams, and external partners to understand data needs and co‑design solutions.
- Facilitate workshops with NHS stakeholders to strengthen data literacy and promote consistent data practices across organisations.
- Act as a liaison between technical teams and clinical users to ensure solutions are practical, safe, and aligned to NHS workflows.
- Mentor and develop junior consultants, fostering AI and health data literacy within the health sector team.
- Stay abreast of healthcare industry trends, regulatory changes, and emerging data and AI technologies to inform consulting strategies and recommendations.
- Contribute to business development and solution design for health sector clients, supporting bids and proposals with data, analytics, AI and Healthcare expertise.
Skills & Experience
- Proven experience delivering data-focused transformation projects within the healthcare sector (in particular the NHS).
- Strong understanding of UK (in particular NHS) healthcare systems, policies, and operational challenges, with the ability to translate these into AI-enabled solutions.
- Strong hands‑on experience with data management, data integration, and data quality tools, alongside proven expertise in applying data governance best practices.
- Experience with handling and analysing large scale operational, clinical and financial healthcare datasets – SUS, SLAM, HES, ESR.
- Experience of undertaking complex analytics engagements in areas such as financial improvement, operational improvement, intelligent insights and demand and capacity and system modelling.
- Excellent analytical, problem-solving, and communication skills, with the ability to explain complex health data concepts to non-technical stakeholders.
- Experience managing projects and teams, delivering results for health sector clients.
- Understanding the application of data analytics, prescriptive and predictive to address key challenges across the healthcare landscape and across the NHS.
- Experience of developing across data visualisation solutions such as PowerBI and Tableau.
- Ability to work collaboratively and build strong relationships with healthcare clients and stakeholders.
Manager - AI & Data, Healthcare UKI in London employer: EY Société d'Avocats
At EY, we pride ourselves on fostering an inclusive and supportive work culture that empowers our employees to thrive. As a Manager in AI & Data within the Healthcare sector, you will benefit from unparalleled growth opportunities, mentorship, and the chance to make a meaningful impact on health systems across the UK and Ireland. Join us to be part of a dynamic team that values your unique perspective while working towards building a better working world.
StudySmarter Expert Advice🤫
We think this is how you could land Manager - AI & Data, Healthcare UKI in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the healthcare sector, especially those at EY. A friendly chat can open doors and give you insights into the company culture and what they’re really looking for.
✨Tip Number 2
Prepare for the interview by diving deep into EY’s recent projects in AI and data analytics within healthcare. Show us that you’re not just familiar with the role but also passionate about how you can contribute to building a better working world.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After your interview, drop a quick thank-you note to express your appreciation. It keeps you on their radar and shows your enthusiasm for the position.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining EY and making an impact in the healthcare sector.
We think you need these skills to ace Manager - AI & Data, Healthcare UKI in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Analytics Manager in the healthcare sector. Highlight your experience with NHS datasets and any relevant AI projects you've led. We want to see how your unique skills can help us build a better working world!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about healthcare data and how you can contribute to our team. Be sure to mention specific projects or experiences that align with the responsibilities outlined in the job description.
Showcase Your Analytical Skills:In your application, don’t shy away from showcasing your analytical prowess. Provide examples of how you've tackled complex data challenges in the past, especially in the healthcare sector. We love seeing how you’ve made an impact through data-driven solutions!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team at EY!
How to prepare for a job interview at EY Société d'Avocats
✨Know Your Data Inside Out
Make sure you’re well-versed in the healthcare data landscape, especially NHS datasets. Brush up on your knowledge of data management and analytics tools like PowerBI and Tableau, as you'll likely be asked how you can apply these in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex challenges in the healthcare sector. Think about how you’ve used AI and advanced analytics to drive transformation and improve outcomes, and be ready to explain your thought process.
✨Understand the Healthcare Ecosystem
Familiarise yourself with current trends and regulatory changes in the UK healthcare system. Being able to discuss how these factors influence data-driven decision-making will show that you’re not just technically skilled but also strategically minded.
✨Engage with Stakeholders
Be prepared to talk about your experience collaborating with various stakeholders, from clinical teams to operational leaders. Highlight your ability to communicate complex data concepts in a way that’s accessible to non-technical audiences, as this is crucial for success in the role.
