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- 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.
- 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.
- Other info: Dynamic team environment with opportunities for mentorship and professional growth.
The predicted salary is between 43200 - 72000 £ 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
Data Analytics Manager – Health Sector Focus
At EY, you will 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: Iris Software
Contact Detail:
Iris Software 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. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your past projects in healthcare data analytics. This will help you stand out during interviews and discussions.
✨Tip Number 3
Stay updated on industry trends! Follow healthcare and AI news to bring fresh insights to your conversations. It shows you're passionate and knowledgeable about the field.
✨Tip Number 4
Apply through our website! We make it easy for you to connect with us directly. Plus, it shows you're genuinely interested in joining the EY team.
We think you need these skills to ace Manager - AI & Data, Healthcare UKI in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the role. Highlight your experience in healthcare data analytics and how it aligns with EY's mission to build a better working world. We want to see your unique voice shine through!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past experiences that showcase your expertise in AI, data management, and collaboration with healthcare teams. This is your chance to show us what you can bring to the table.
Be Clear and Concise: Keep your application clear and to the point. Avoid jargon unless it's relevant to the role. We appreciate straightforward communication, so make sure your key achievements and experiences are easy to spot!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Iris Software
✨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 to discuss how you've used these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your analytical and problem-solving abilities. Think about specific challenges you've faced in previous roles and how you applied AI or advanced analytics to overcome them. This will demonstrate your capability to tackle complex issues in the healthcare sector.
✨Understand the Healthcare Environment
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 aware of the broader context.
✨Engage with Stakeholders
Be ready to talk about your experience collaborating with various stakeholders, including clinical teams and operational leaders. Highlight any workshops or training sessions you've facilitated to improve data literacy, as this is crucial for the role.
