VP of Data Engineering

CSI Companies is seeking a VP of Data Engineering for a large enterprise healthcare organization focused on building and scaling modern data platforms. The role involves defining and executing the enterprise data engineering strategy, leading teams responsible for data engineering and platform development, and partnering with executive leadership to translate strategic goals into data architecture.

Responsibilities:

• Define and execute the enterprise data engineering strategy across data warehouse, cloud data platforms, modeling, migration, governance, and analytics infrastructure
• Architect scalable, secure, and reliable cloud-native data platforms supporting internal operations and external-facing data products
• Lead teams responsible for data engineering, platform development, data quality, data integration, and operational support
• Establish technical standards, delivery models, and best practices across the data engineering organization
• Partner with executive leadership and business stakeholders to translate strategic goals into data architecture and engineering roadmaps
• Build platforms that enable advanced analytics, reporting, self-service data access, and future AI/ML use cases
• Ensure data reliability, accessibility, governance, security, and performance across the enterprise

Requirements:

• Senior leadership experience driving enterprise data engineering strategy and architecture
• Strong experience with modern cloud-native data platforms and enterprise data warehouse environments
• Proven ability to lead large data engineering teams, including employees and contractors
• Experience partnering directly with C-suite and senior business leaders
• Strong understanding of data governance, security, compliance, scalability, and operational excellence
• Healthcare, clinical data, or payer/provider data experience is highly preferred
• Experience with Epic Caboodle or other clinical data models
• Experience supporting healthcare analytics, payer contracts, provider operations, or clinical performance data
• Background building platforms that support AI/ML, advanced analytics, or GenAI use cases
• Experience with multi-tenant data architecture, client-specific data separation, or external product data delivery