Manager - AI & Data, Healthcare UKI in London
Manager - AI & Data, Healthcare UKI

Manager - AI & Data, Healthcare UKI in London

London Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
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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.

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Manager - AI & Data, Healthcare UKI in London employer: FP&A

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 opportunities for professional growth, mentorship, and collaboration with diverse teams dedicated to making a meaningful impact in the health industry. Join us in London, where you can leverage cutting-edge technology and innovative solutions to shape the future of healthcare while enjoying a dynamic work environment that values your unique contributions.
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Contact Detail:

FP&A Recruiting Team

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 people in the healthcare and data analytics sectors, especially those at EY. Attend industry events or webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your previous projects, especially those related to AI and data in healthcare. This will give potential employers a tangible sense of what you can bring to the table. Make sure to highlight any successful outcomes from your work!

✨Tip Number 3

Prepare for interviews by brushing up on your knowledge of NHS systems and data management tools. Be ready to discuss how you've tackled challenges in the past and how you can apply your expertise to help EY's clients. Practice common interview questions with a friend to boost your confidence!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining EY and contributing to building a better working world.

We think you need these skills to ace Manager - AI & Data, Healthcare UKI in London

Data Analytics
AI Integration
Healthcare Systems Knowledge
Data Management
Data Quality Tools
Data Governance
Predictive Analytics
Prescriptive Analytics
Data Visualisation (PowerBI, Tableau)
Project Management
Communication Skills
Problem-Solving Skills
Stakeholder Engagement
Team Leadership
Collaboration

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 contribute to our mission!

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 help EY build a better working world. Be sure to mention specific examples of your past successes in similar roles.

Showcase Your Analytical Skills: In your application, don’t shy away from showcasing your analytical prowess. Discuss your experience with data management tools and how you've used analytics to drive transformation in healthcare settings. We love seeing those numbers and outcomes!

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the info you need about the role and our culture there!

How to prepare for a job interview at FP&A

✨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 about your hands-on experience with these during the interview.

✨Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've tackled complex challenges in the healthcare sector. Think about how you applied AI and advanced analytics to drive transformation and improve outcomes, as this will demonstrate your ability to deliver value.

✨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.

✨Communicate Clearly with Non-Technical Stakeholders

Practice explaining complex health data concepts in simple terms. You’ll need to bridge the gap between technical teams and clinical users, so showcasing your communication skills will be key to impressing the interviewers.

Manager - AI & Data, Healthcare UKI in London
FP&A
Location: London

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