Manager – Healthcare Advisory (Modelling)

Overview

As Manager in KPMG’s Healthcare team, you will lead problem-solving, analytics and modelling work for NHS providers and public-sector clients. You’ll develop analytical tools for healthcare redesign, mergers and capital investment, turning insights into clear recommendations. You’ll contribute to proposals, thought leadership and market insight while growing the team. This role combines client delivery with shaping strategic options and value-for-money assessments, within a collaborative, impact-driven culture.

Responsibilities

• Lead delivery of client engagements and coordinate small teams to achieve outcomes
• Design modelling and analytical approaches for strategic, operational and financial challenges in healthcare/government
• Develop and oversee robust models: demand, capacity, workforce, financial, economic and population health analyses
• Translate complex analysis into clear reports, dashboards, presentations and business cases for senior decisions
• Facilitate workshops and manage day-to-day client relationships to shape and deliver change
• Review others’ analytical work to ensure high quality and reliability
• Support business development through market insight, thought leadership, proposals and pitches
• Maintain engagement administration, compliance and risk management while pursuing learning opportunities

Key requirements

• Experience in developing modelling tools and overseeing model development (economic/value-for-money modelling, financial analysis, demand and capacity, workforce, population health analytics)
• Healthcare or government sector experience with understanding NHS/healthcare challenges
• Experience reviewing models/outputs and improving quality, clarity, reliability
• Experience using analysis to support service transformation, quantify benefits, and inform investment decisions
• Ability to present complex findings through reports, presentations, dashboards for senior audiences
• Experience managing advisory engagements, client relationships, stakeholder workshops, teams, and deadlines; familiarity with AI/advanced analytics for insight and scenario planning

• Client relationship management
• Leadership and people coordination
• Clear and concise communication
• Modelling tool development and oversight
• Economic/value-for-money modelling
• Financial analysis

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