
201 - 500 employees
Founded 1973
🤝 Non-profit
🤝 B2B
🔬 Science
Non-profit • B2B • Science
Comagine Health is a national nonprofit health care consulting organization that partners with providers, payers, public agencies, community organizations and consumers to improve health care quality, equity, and outcomes. It offers systemwide quality improvement, care management, data solutions, research and evaluation, and COVID-19 response services, using health information exchange and health IT to inform public health surveillance and program design. Comagine focuses on supporting community health, behavioral health, and patient-centered initiatives through technical assistance, evaluation, and collaborative systems-level work.
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201 - 500 employees
Founded 1973
🤝 Non-profit
🤝 B2B
🔬 Science
Non-profit • B2B • Science
Comagine Health is a national nonprofit health care consulting organization that partners with providers, payers, public agencies, community organizations and consumers to improve health care quality, equity, and outcomes. It offers systemwide quality improvement, care management, data solutions, research and evaluation, and COVID-19 response services, using health information exchange and health IT to inform public health surveillance and program design. Comagine focuses on supporting community health, behavioral health, and patient-centered initiatives through technical assistance, evaluation, and collaborative systems-level work.
• Lead enterprise data engineering and AI enablement initiatives aligned with business strategy. • Design and evolve modern cloud-based data platforms, including data lakehouse, warehouse, and streaming architectures. • Identify, prioritize, and implement high-impact AI and machine learning use cases across the organization. • Establish responsible AI practices, governance, security, and ethical standards. • Provide strategic guidance on AI opportunities and implementation approaches. • Oversee data architecture, integration, governance, quality, and scalability. • Build, mentor, and lead a high-performing team of data engineers and AI professionals. • Manage technology vendors, cloud platforms, and AI tools supporting enterprise capabilities.
• Bachelor's degree required; Master's preferred in Computer Science, Data Science, AI/ML, or a related field. • 7+ years of progressive leadership experience in data engineering, data architecture, analytics, or AI. • Experience building modern cloud-based data platforms and enterprise data solutions. • Demonstrated success leading AI or machine learning initiatives from strategy through implementation. • Strong understanding of data governance, security, compliance, and responsible AI practices. • Excellent communication and relationship-building skills with technical and executive stakeholders. • Cloud, Data, or AI certifications are a plus.
• Fully remote work environment (U.S.) • Comprehensive medical, dental, and vision coverage • 401(k) with company match • Generous paid time off and holidays • Professional development opportunities
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