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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 technical talent while building a culture of innovation, ownership, and continuous improvement. Ability to balance innovation with practical execution and organizational readiness. ESSENTIAL FUNCTIONS • 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. PHYSICAL DEMANDS AND WORK ENVIRONMENT • Frequent physical demands include: Standing , Walking , Reaching forward , Reaching overhead • Occasional physical demands include: Climbing (e.g., stairs or ladders) , Carry objects , Push/Pull , Twisting , Bending , Squat/kneel/crawl , Taste or Smell • Continuous physical demands include: Sitting , Wrist position deviation , Pinching/fine motor activities , Keyboard use/repetitive motion , Talk or Hear • Lifting Floor to Waist 15 lbs. Lifting Waist Level and Above 10 lbs. • Sensory Requirements include: Accurate Near Vision, Accurate Far Vision, Accurate Depth Perception, Accurate Hearing • Anticipated Occupational Exposure Risks Include the following: N/A This position is eligible for the following benefits: • Medical Plan • Prescription drug coverage & In-House Employee Pharmacy • Dental Plan • Vision Plan • Flexible Spending Account (FSA) • Healthcare FSA • Dependent Care FSA • Retirement Savings and Investment Plan • Basic Group Term Life and Accidental Death & Dismemberment (AD&D) Insurance • Supplemental Group Term Life & Accidental Death & Dismemberment Insurance • Disability Benefits – Long Term Disability (LTD) • Disability Benefits – Short Term Disability (STD) • Employee Assistance Program • Commuter Transit • Commuter Parking • Supplemental Life Insurance • Voluntary Life Spouse • Voluntary Life Employee • Voluntary Life Child • Voluntary Legal Services • Voluntary Accident, Critical Illness and Hospital Indemnity Insurance • Voluntary Identity Theft Insurance • Voluntary Pet Insurance • Paid Time-Off Program The pay range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future. When determining base salary and/or rate, several factors may be considered including, but not limited to 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. The salary applies specifically to the position being advertised and does not include potential bonuses, incentive compensation, differential pay or other forms of compensation, compensation allowance, or benefits health or welfare. Actual total compensation may vary based on factors such as experience, skills, qualifications, and other relevant criteria.