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

Manager - AI & Data, Healthcare UKI

Full-Time 43200 - 72000 Β£ / 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 innovation and inclusivity.
  • Benefits: Competitive salary, flexible working, professional development, and a supportive team culture.
  • Why this job: Make a real impact in healthcare by leveraging data and AI to drive change.
  • Qualifications: Experience in healthcare data projects and strong analytical skills required.
  • Other info: Dynamic role with opportunities for mentorship and career growth.

The predicted salary is between 43200 - 72000 Β£ 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'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 employer: Iris Software

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, access to cutting-edge technology, and the chance to collaborate with diverse teams dedicated to making a meaningful impact in the health industry. Join us in our mission to build a better working world while advancing your career in a dynamic and innovative environment.
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Contact Detail:

Iris Software Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Manager - AI & Data, Healthcare UKI

✨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 discuss relevant topics during interviews. It shows you're passionate and informed 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 being part of the EY team.

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

Data Analytics
AI and Automation
Healthcare Systems Knowledge
Data Management
Data Integration
Data Quality Tools
Data Governance
Analytical Skills
Problem-Solving Skills
Communication Skills
Project Management
Data Visualisation (PowerBI, Tableau)
Collaboration Skills
Mentoring and Development

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.

Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work that showcase your expertise in AI, data management, and collaboration with healthcare teams.

Be Authentic: Let your personality shine through in your application. EY values unique voices and perspectives, so don’t be afraid to share what makes you, you!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves and helps us get to know you better.

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 to share specific examples of how you've tackled complex challenges in the healthcare sector. Think about times when you applied AI or advanced analytics to drive transformation and be ready to explain your thought process.

✨Understand the Client's Needs

Research EY’s approach to healthcare consulting and be prepared to discuss how you would tailor analytics solutions to meet client needs. Demonstrating an understanding of their operational and clinical challenges will set you apart.

✨Communicate Clearly with Non-Technical Stakeholders

Practice explaining complex data concepts in simple terms. You’ll need to show that you can bridge the gap between technical teams and clinical users, so think of examples where you’ve successfully done this in the past.

Manager - AI & Data, Healthcare UKI
Iris Software
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  • Manager - AI & Data, Healthcare UKI

    Full-Time
    43200 - 72000 Β£ / year (est.)
  • I

    Iris Software

    50-100
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