Value Engineer

Role overview Help health systems find and realize financial opportunities hidden in contracts, financial data, and operational workflows. You will own customer outcomes from analysis through ongoing engagement, combining hands-on investigation and healthcare knowledge with clear recommendations and close partnership with customer teams. You will also turn recurring customer needs into improvements to an AI-enabled product.

Responsibilities - Analyze healthcare contracts, financial datasets, and operational information to uncover margin opportunities and investigate discrepancies. - Work with customers to define success, quantify potential value, and guide initiatives through to financial or operational impact. - Connect analytical findings to the practical processes and constraints of areas such as supply chain, pharmacy, and managed care. - Build trusted relationships with analysts, operational leaders, and finance executives; support adoption and address challenges proactively. - Share customer insights and repeatable analytical methods with Product and Engineering to improve automation, accuracy, and product capabilities. - Identify opportunities for continued customer value, broader use cases, renewals, and expansion.

Requirements - Seven or more years of relevant experience in healthcare consulting, financial analytics, value engineering, enterprise software, or a similar customer-facing field. - Strong analytical and problem-solving skills, including comfort working with complex or imperfect data using Excel, SQL, or comparable tools. - Understanding of health system financial and operational complexity, particularly in supply chain, pharmacy, managed care, or related areas. - Ability to connect contract and financial data to how decisions are made and carried out in healthcare organizations. - Clear communication of complex findings to audiences ranging from analysts to executives, with a focus on measurable outcomes. - Commercial awareness, ownership, and interest in applying AI to turn manual analytical workflows into scalable product capabilities.