Assistant Manager – Healthcare Advisory

Overview

In this advisory role within the Healthcare team, you work hands-on to solve problems through structured analysis and modelling, helping NHS and other healthcare bodies transform services. You will partner with multidisciplinary teams to shape operating models, demand and capacity analyses, and capital investments, delivering actionable insights. The role blends analytics with stakeholder engagement to inform senior leadership decisions and drive sustainable change. You will join a collaborative, impact-focused environment that values innovation and cross-functional collaboration.

Responsibilities

• Deliver high-quality engagements using analytical and modelling tools and evidence-based reports
• Manage day-to-day client relationships and ensure dependable delivery
• Translate complex analysis into concise, decision-support presentations
• Coordinate priorities, deadlines and project activities for strong client service
• Support workshops and change activities with clients and multidisciplinary teams
• Contribute to business development through thought leadership and proposals
• Introduce ideas to improve insight generation, modelling, scenario planning and productive use of AI and advanced analytics
• Maintain engagement administration, compliance and risk management while pursuing personal development and training

Key requirements

• Evidence of using modelling or analytics to solve problems (economic/value-for-money modelling, financial analysis, demand/capacity analysis, or population health analytics)
• Experience in healthcare sector with understanding of healthcare organisations context
• Experience analysing large datasets and creating clear data visualisations with guidance as needed
• Experience in advisory/consulting/change work, including workshops and stakeholder collaboration
• Proven ability to write high-quality reports and create presentations for senior stakeholders
• Strong organisation and communication skills with prioritisation, deadlines, and project management experience

• Strong communication
• Collaborative mindset
• Stakeholder management
• Modelling and analytics (economic/value-for-money, financial analysis)
• Demand and capacity analysis
• Population health analytics

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