EY
EY

EY is a global professional services firm offering audit, tax, consulting, and advisory expertise. Its teams help organizations address complex business challenges, strengthen trust in financial reporting and markets, and use data and technology to support transformation.

The firm provides services including corporate finance advisory, transaction strategy, and technology consulting. EY works with clients across areas such as healthcare, legal services, marketing, energy, finance, and government, with sustainability and innovation informing many of its solutions.

Healthcare AI and Data Manager

Lead EY consulting work for NHS clients across AI, analytics, and digital transformation. Design data solutions, improve healthcare reporting, and guide health-sector stakeholders.

Description

  • Lead healthcare consulting engagements that use AI, automation, and advanced analytics to increase productivity, support digital transformation, and reduce costs.
  • Assess healthcare client needs and create tailored analytics and intelligence solutions.
  • Design, develop, and implement data analytics and reporting solutions, including automation, predictive and prescriptive analytics, and AI integrations.
  • Evaluate healthcare systems, policies, and datasets to uncover opportunities for data-led innovation and improvement.
  • Work with NHS clients, operational leaders, digital teams, and external partners to define data needs and develop solutions collaboratively.
  • Run workshops with NHS stakeholders to improve data literacy and encourage consistent data practices.
  • Bridge technical teams and clinical users to ensure solutions are safe, practical, and compatible with NHS workflows.
  • Coach and develop junior consultants in AI and health data capabilities.
  • Track healthcare industry developments, regulatory changes, and emerging technologies in data and AI.
  • Contribute healthcare, data, analytics, and AI expertise to business development activities, bids, and proposals.
  • Oversee the full health-data lifecycle to maintain accuracy, compliance, and effective use in service transformation.
  • Manage large NHS datasets and work with clinical and operational teams to improve data quality and reporting.

Requirements

  • Demonstrated experience delivering data transformation initiatives in healthcare, especially within the NHS.
  • Strong knowledge of UK healthcare systems, with particular familiarity with NHS policies and operational challenges.
  • Hands-on expertise in data management, integration, and quality tooling.
  • Proven ability to apply data governance principles in practice.
  • Experience working with large operational, clinical, and financial healthcare datasets, including SUS, SLAM, HES, and ESR.
  • Background delivering complex analytics engagements involving financial and operational improvement, intelligent insights, demand and capacity planning, and system modelling.
  • Excellent analytical, problem-solving, and communication abilities.
  • Experience leading projects and teams while delivering outcomes for health-sector clients.
  • Understanding of descriptive, prescriptive, and predictive analytics in healthcare.
  • Experience creating data visualisations with tools such as Power BI and Tableau.
  • Collaborative approach with the ability to build effective relationships with healthcare clients and stakeholders.

Benefits

  • Competitive compensation package
  • Connection to diverse teams across a global organisation
  • Inclusive working culture
  • Support for career progression and development
  • Opportunities to grow through technology and professional development

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