Vice President of Engineering; MedInsight

Individual(s) must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman now or in the future.

Leading with our core values of Quality, Integrity, and Opportunity, Med Insight is one of the healthcare industry's most trusted solutions for healthcare intelligence. Our purpose is to empower easy, data-driven decision-making on important healthcare questions. Through our products, education, and services, Med Insight is making an impact on healthcare by helping to drive better outcomes for patients while reducing waste.

Over 300 leading healthcare organizations have come to rely on Med Insight analytic solutions for healthcare cost and care management. Med Insight has earned top recognition from clients for Payer Quality Analytics in the Best in KLAS report.

Med Insight is a subsidiary of Milliman; a global, employee-owned consultancy providing actuarial consulting, retirement funding and healthcare financing, enterprise risk management and regulatory compliance, data analytics and business transformation as well as a range of other consulting and technology solutions.

Med Insight is seeking a Vice President of Engineering to lead the next phase of our technology and organizational evolution. Reporting to the Chief Product Officer, this executive will lead an approximately 100-person global engineering organization spanning application development, data engineering, platform engineering, AI, and technical operations.

The VP will shape engineering strategy, strengthen leadership and operating capabilities, modernize core platforms, improve delivery predictability, and accelerate responsible AI-enabled innovation. This is an opportunity to influence product and business strategy while building the engineering organization required to support a market-leading healthcare analytics business.

The successful candidate will combine technical depth, organizational leadership, and business judgment. They will have led meaningful engineering transformation in a complex, data-intensive environment and will know how to translate architecture, talent, and technology investments into measurable client and business outcomes.

• Define and execute a long-term engineering strategy aligned with Med Insight's business and product objectives.
• Improve engineering velocity, delivery predictability, quality, reliability, security, testing, and operational excellence.
• Establish consistent engineering standards, architecture practices, automation, observability, and scalable development processes.
• Accelerate responsible adoption of artificial intelligence and emerging technologies across products, engineering, and operations.
• Partner with Product and business leaders to identify AI opportunities that create measurable client and business value.
• Guide architecture and technology investment decisions, including modernization, technical debt, build-versus-buy decisions, and platform capabilities.
• Build and develop a strong engineering leadership organization, succession pipeline, and technical talent strategy.
• Reduce key-person dependencies through automation, self-service, knowledge transfer, and scalable operating practices.
• Create a culture of accountability, collaboration, innovation, learning, continuous improvement, and high performance.
• Partner closely with Product, Operations, Analytics/Data Science, Security, Client Services, and Executive Leadership.
• Translate complex technical concepts and tradeoffs into clear business outcomes and executive decisions.
• Serve as a trusted technical leader with selected clients, prospects, technology partners, and industry audiences.

Med Insight's engineering environment includes Azure and Databricks, with primary development languages and technologies including C#, SQL, Python, and Power Shell. The organization is also adopting AI-enabled engineering and productivity tools, including Claude Code, Genie Code, and Git Hub Copilot.

• 15+ years of progressive engineering leadership experience, including significant executive-level leadership responsibility.
• Demonstrated success building, scaling, or materially transforming an engineering organization of significant size, including establishing leadership capacity, operating practices, architecture discipline, and sustainable delivery capabilities.
• Extensive experience in data-intensive technology environments,…