Qualifications

• 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.

Responsibilities

• 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.

Benefits

• Opportunity to shape the future of healthcare with innovative data solutions.
• Collaborative and supportive work environment promoting professional growth.
• Full-time remote position providing flexibility and work-life balance.
• Access to cutting-edge technology and tools for data and AI.
• Engagement in meaningful projects that improve healthcare outcomes nationwide.