Head of Clinical Engineering Data Analytics & AI

Gateway Recruiting; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Gateway Recruiting seeks a Senior Manager, Clinical Engineering & Data Analytics to build and lead a cross-disciplinary organization spanning Clinical Engineering, Data Warehousing, and Data Analytics, driving AI-enabled insights and best-in-class treatment planning capabilities across the business.

The role establishes a unified platform and strategy to translate clinical intent into measurable clinical, operational, and business outcomes, enabling scalable, data-driven solutions and outcomes.

Qualifications

• Bachelor’s degree in engineering, data science or related field.
• 8+ years in clinical engineering, digital health or data analytics.
• 5+ years of people leadership experience.

Responsibilities

• Lead and build multidisciplinary team across clinical engineers, data warehousing, data scientists and analytics professionals.
• Define strategy for data-driven clinical engineering, including roadmaps for analytics platforms, AI capabilities, and data infrastructure.
• Build and maintain scalable, cloud-native architectures that unify data sources for operational insights and clinical research.
• Develop capabilities for data-driven clinical outcomes using real-world data, modeling and AI/ML tools to improve treatment quality.

Skills

Data Analytics

Leadership

Cross-functional leadership

AI/ML

Data Warehousing

Cloud Platforms

Healthcare Analytics

Stakeholder Alignment

Communication

Agile

Education

Bachelor's degree in engineering/CS/related field

MS/PhD in engineering/data science/related discipline

Job description

Gateway Recruiting seeks a Senior Manager, Clinical Engineering & Data Analytics to build and lead a cross-disciplinary organization spanning Clinical Engineering, Data Warehousing, and Data Analytics, driving AI-enabled insights and best-in-class treatment planning capabilities across the business.

The role establishes a unified platform and strategy to translate clinical intent into measurable clinical, operational, and business outcomes, enabling scalable, data-driven solutions and outcomes.