Director, Product Engineering & AI

Capital Health is the region's leader in providing progressive, quality patient care with significant investments in exceptional physicians, nurses and staff, as well as advanced technology. Capital Health is a dynamic healthcare 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 comprises over 600 physicians and providers offering primary, specialty, and hospital-based services.

About the Role

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. The Director establishes a modern product engineering operating model combining software engineering, AI technologies, workflow transformation, and enterprise integration principles to deliver scalable, 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 builds a high-performing engineering culture focused on agility, accountability, scalability, security, and measurable business value.

Requirements

• 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).
• Eight years of progressive experience in software engineering, enterprise applications, digital transformation, or healthcare technology leadership.
• Five years of 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.

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.
• 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.

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

Responsibilities

• Leads the enterprise Product Engineering & AI function across Capital Health.
• Develops and operationalizes a scalable internal product engineering model aligned with organizational transformation priorities.
• Leads teams responsible for AI-enabled applications, workflow automation, enterprise integrations, operational tooling, and internally developed digital platforms.
• Partners with operational and clinical leaders to identify high-value workflow transformation opportunities.
• Establishes engineering standards, architectural governance, development practices, and secure software lifecycle processes.
• Oversees the prioritization, planning, execution, and operationalization of internally developed products and automation initiatives.
• Collaborates closely with Infrastructure, Security, Analytics, Clinical Applications, Revenue Cycle, and Enterprise Operations teams.
• Drives responsible adoption of AI technologies while ensuring alignment with organizational governance, compliance, privacy, and cybersecurity expectations.
• Establishes measurable success metrics and value realization processes for transformation initiatives.
• Mentors and develops engineering and technical staff capabilities.

Work Environment

Physical Demands:

• Frequent: Standing, walking, reaching forward, reaching overhead, sitting, wrist position deviation, pinching/fine motor activities, keyboard use/repetitive motion, talking, hearing.
• Occasional: Climbing (e.g., stairs or ladders), carrying objects, pushing/pulling, twisting, bending, squatting/kneeling/crawling.
• Lifting: Floor to waist up to 15 lbs; waist level and above up to 10 lbs.

Sensory Requirements: Accurate near vision, far vision, depth perception, and hearing.

Benefits

• Medical, dental, and vision plans.
• Prescription drug coverage and in-house employee pharmacy.
• Flexible Spending Account (FSA), Healthcare FSA, and Dependent Care FSA.
• Retirement savings and investment plan.
• Basic group term life and accidental death & dismemberment (AD&D) insurance.
• Supplemental group term life & AD&D insurance.
• Long-term and short-term disability benefits.
• Employee Assistance Program.
• Commuter transit and parking benefits.
• Voluntary benefits: life insurance (employee, spouse, child), legal services, accident, critical illness, hospital indemnity, identity theft, and pet insurance.
• Paid time-off program.

Pay

The pay range listed is a good faith determination of potential base compensation for a full-time equivalent (1.0 FTE) position and may be modified in the future. Actual compensation may differ based on assigned hours, position status (e.g., part-time), location, years of relevant experience, education, credentials, negotiated contracts, budget, market data, and internal equity. Bonus and/or incentive eligibility are determined by role and level.