Director, Product Engineering & AI

Capital Health is the region’s leader in providing progressive, quality patient care with significant investments in our exceptional physicians, nurses and staff, as well as advanced technology. Capital Health is a dynamic health care resource accredited by the DNV that includes two hospitals, an outpatient center, satellite ED, and an expansive network of primary and specialty care. Capital Health Medical Group is made up of more than 600 physicians and other providers who offer primary and specialty care, as well as hospital-based services, to patients throughout the region.

Capital Health recognizes that attracting the best talent is key to our strategy and success as an organization. As a result, we aim for flexibility in structuring competitive compensation offers to ensure we can attract the best candidates.

The listed pay range or pay rate reflects compensation for a full-time equivalent (1.0 FTE) position. Actual compensation may differ depending on assigned hours and position status (e.g., part-time).

Scheduled Weekly Hours 40

Position Overview SUMMARY (Basic Purpose of the Job)

The Director, Product Engineering & AI is a strategic and operational technology leader responsible for advancing Capital Health’s internal product engineering, AI-enabled workflow transformation, and enterprise automation initiatives. This role leads the design, development, integration, and operationalization of internally developed digital solutions that improve clinical, operational, financial, and patient experience outcomes across the organization. The Director is responsible for establishing a modern product engineering operating model that combines software engineering, AI technologies, workflow transformation, and enterprise integration principles to deliver scalable and sustainable solutions aligned with organizational priorities. Partners closely with operational, clinical, analytics, infrastructure, and security leaders to identify high-value opportunities for automation, operational intelligence, and AI-enabled transformation. Balances strategic leadership with practical execution and is expected to build a high-performing engineering culture focused on agility, accountability, scalability, security, and measurable business value.

Minimum Requirements Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or related field required. Master’s degree in Healthcare Informatics, Data Analytics, AI, or Business Administration preferred.

Experience: Eight years of progressive experience in software engineering, enterprise applications, digital transformation, or healthcare technology leadership. Five years leadership experience managing technical engineering, application development, or digital product teams. Experience leading cross-functional technology initiatives involving enterprise integrations, workflow transformation, or AI-enabled solutions.

Knowledge and Skills Strong understanding of modern software engineering principles, APIs, cloud-native architectures, and enterprise integration strategies. Understanding of AI technologies including large language models, workflow automation, AI-assisted applications, and orchestration frameworks. Strong operational and workflow transformation mindset with the ability to connect technology capabilities to measurable organizational outcomes. Ability to lead technical teams while balancing strategic priorities, operational realities, and execution discipline. Strong understanding of agile delivery concepts, product development, lifecycle management, and engineering governance principles. Ability to collaborate effectively across clinical, operational, financial, and technical leadership teams. Strong communication and executive presentation skills. Understanding of cybersecurity, secure development principles, identity management, and enterprise governance expectations.

Special Training: Training or certifications in cloud platforms, AI technologies, product management, agile methodologies, healthcare informatics, or enterprise architecture preferred.

Mental, Behavioral and Emotional Abilities: Demonstrates strong strategic thinking and operational decision-making capabilities. Ability to lead through ambiguity and organizational transformation. Demonstrates accountability, adaptability, and collaborative leadership behaviors. Ability to mentor and grow technic…