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Associate Vice President of AI Product Engineering

Penn Medicine

Philadelphia, PA

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JOB DETAILS
SKILLS
Applications Security, Artificial Intelligence (AI), Best Practices, Clinical Outcomes, Communication Skills, Compensation and Benefits, Computer Science, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Data Analysis, Data Science, Emerging Technology, Employee Benefits, Establish Priorities, FDA Requirements, HIPAA (Health Insurance Portability and Accountability Act), Healthcare, Industry/Trade Analysis, Leadership, Machine Learning, Maintain Compliance, Mathematics, Medicine, Mentoring, Needs Assessment, Operational Strategy, Patient Care, Performance Management, Performance Modeling, Privacy Controls, Product Engineering, Production Systems, Project Design, Publications, Quality of Care, Regulations, Research & Development (R&D), Research Skills, Sales Pipeline, Security Infrastructure, Software Development, Source Code/Configuration Management (SCM), Team Lead/Manager, Technical/Engineering Design, Test Plan/Schedule, Testing
LOCATION
Philadelphia, PA
POSTED
30+ days ago

Description

Penn Medicine is dedicated to our tripartite mission of providing the highest level of care to patients, conducting innovative research, and educating future leaders in the field of medicine. Working for this leading academic medical center means collaboration with top clinical, technical and business professionals across all disciplines.

Today at Penn Medicine, someone will make a breakthrough. Someone will heal a heart, deliver hopeful news, and give comfort and reassurance. Our employees shape our future each day. Are you living your life's work?

Entity: Corporate Services

Department: PennDNA

Location: 3600 Civic Center Blvd

Summary:

The Associate Vice President (AVP) of AI will be responsible for the development and deployment of machine learning solutions to address critical challenges for our health system. The AVP of AI oversees a team of data scientists and AI engineers. They will also take ownership of hands-on machine learning code development and/or deployment, when necessary, to ensure successful development and implementation.  

Responsibilities:

  • Strategic Leadership: 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.
  • Technical Design and Oversight: 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.
  • Research & Development: 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.
  • Trustworthy AI: Develop and execute on 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).
  • Team Management: Lead, mentor, and grow a team of data scientists, machine learning engineers, and software developers. Set high performance expectations and help team to achieve them. Create a positive culture that encourages collaboration and fosters innovation. Attract and retain top talent. Develop new leaders. Help others to find purpose amid uncertainty.
  • Stakeholder Engagement: 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.
  • Continuous Improvement: Drive innovation and excellence across the organization, continuously seeking ways to enhance the use of data for informed decision-making. Stay abreast of industry trends, emerging technologies, and best practices in healthcare data analytics.

Education or Equivalent Experience:

  • 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.


#LI-ST1

We believe that the best care for our patients starts with the best care for our employees. Our employee benefits programs help our employees get healthy and stay healthy. We offer a comprehensive compensation and benefits program that includes one of the finest prepaid tuition assistance programs in the region. Penn Medicine employees are actively engaged and committed to our mission. Together we will continue to make medical advances that help people live longer, healthier lives.

Live Your Life's Work

We are an Equal Opportunity employer. Candidates are considered for employment without regard to race, ethnicity, color, sex, sexual orientation, gender identity, religion, national origin, ancestry, age, disability, marital status, familial status, genetic information, domestic or sexual violence victim status, citizenship status, military status, status as a protected veteran or any other status protected by applicable law.

About the Company

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Penn Medicine