Associate Vice President of AI Product Engineering

Responsibilities

• Develop and execute a strategic roadmap for machine learning initiatives that align with the health system's goals.
• Lead the creation of innovative AI/ML solutions to improve patient care, operational efficiency, and clinical outcomes.
• Communicate vision, gain buy-in, and foster collaboration with clinicians, operational leaders, and technology teams.
• Develop internal and external partnerships to foster collaboration and execution.
• Lead the technical design of machine learning solutions tailored to meet business, clinical, and operational requirements.
• Ensure the robustness, scalability, and performance of ML models in production environments.
• Establish best practices for code development, version control, testing, and deployment of ML solutions.
• Implement CI/CD pipelines for ML deployment.
• Collaborate with security, infrastructure, and application teams to ensure seamless integration of ML solutions into workflows.
• Develop a pipeline of ML capabilities to explore, test, and develop with a view to production deployment and health system priorities.
• Stay informed about the latest advancements in machine learning and healthcare technology to guide continuous improvement and innovation.
• Communicate internally and externally, including publications, conference presentations, etc., as appropriate to advance our agenda.
• Develop a roadmap to trustworthy AI, including MLOps, model monitoring and retraining, explainability, application standards for security and privacy.
• Ensure compliance with relevant and evolving regulations (e.g. HIPAA, coming FDA regulations).
• Lead, mentor, and grow a team of data scientists, machine learning engineers, and software developers.
• Create a positive culture that encourages collaboration and fosters innovation.
• Help others to find purpose amid uncertainty.
• Develop credibility and trust with leaders by demonstrating expertise, aligning around shared goals, and acting as a thought partner.
• Develop a deep understanding of customer needs and apply that knowledge to prioritize projects, design solutions, and execute.
• Influence a wide-range of senior leaders inside and outside PennDnA.
• Articulate vision, build consensus, and inspire action to achieve outcomes.

Qualifications

• Bachelor's Degree is required. Education Specialization: e.g., Computer Science, Mathematics, Data Science, Machine Learning.
• 10+ years progressively responsible experience developing ML solutions, putting them into production, and scaling is required.
• Master's Degree is required. Education Specialization: e.g., Computer Science, Mathematics, Data Science, Machine Learning.
• Ph.D. is preferred.

Skills

• Strategic planning and execution.
• Technical leadership in machine learning and AI.
• Collaboration and partnership building.
• Technical design and implementation of machine learning solutions.
• Continuous improvement and innovation.
• Stakeholder engagement and influence.
• Trustworthy AI development and compliance.
• Team management and leadership.

Benefits

• Comprehensive compensation and benefits program.
• One of the finest prepaid tuition assistance programs in the region.

Pay

• TBD

Schedule

• TBD