Director, Product Engineering & AI
$150,000–$200,000 year
On-sitePennington, New Jersey, United States
Job Summary
Lead the enterprise Product Engineering & AI function by developing a scalable internal product engineering model and operationalizing AI-enabled applications, workflow automation, and enterprise integrations. Establish architectural governance, secure software lifecycle processes, and engineering standards while overseeing the prioritization and execution of internally developed digital platforms. Partner with operational, clinical, analytics, and security leaders to identify high-value transformation opportunities and drive responsible AI adoption aligned with organizational governance and compliance. Balance strategic leadership with practical execution to build a high-performing engineering culture focused on agility, accountability, and measurable business value across the organization.
Required Qualifications
- Bachelor's degree in Computer Science, Data Science, Engineering, or related field
- 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
- 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
- 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
- Lifting Floor to Waist 15 lbs
- Lifting Waist Level and Above 10 lbs
- Accurate Near Vision
- Accurate Far Vision
- Accurate Depth Perception
- Accurate Hearing
Desired Qualifications
- Master's degree in Healthcare Informatics, Data Analytics, AI, or Business Administration
- Training or certifications in cloud platforms, AI technologies, product management, agile methodologies, healthcare informatics, or enterprise architecture
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