Senior Enterprise AI Architecture & Strategy Leader

Penn Medicine; Philadelphia (Philadelphia County); On-site; USD 180,000 - 270,000; Full time

Job summary

Penn Medicine seeks a senior leader to define and govern the enterprise AI technology strategy and architecture in a highly regulated healthcare setting. The AVP will drive multi-year roadmaps, architecture standards, and governance, partnering with security, legal, compliance, and clinical teams.

Responsibilities include leading an AI architecture team, ensuring safe and compliant AI investments, and aligning AI initiatives with clinical care, research, and operations.

Qualifications

• Bachelor's degree required.
• 15+ years of Information Technology experience.
• 7+ years of Enterprise Architecture Leadership experience.
• 3+ years AI Enterprise Architect & Strategy experience.

Responsibilities

• Defines and owns the enterprise AI technology strategy, ensuring alignment with healthcare, clinical, research, and business strategies.
• Builds a high performing AI architecture team.
• Sets performance expectations, develops talent, and ensures organizational maturity and succession readiness.
• Develops and executes a multi-year enterprise AI architecture and strategy roadmap aligned to investment planning and value realization.
• Establishes enterprise standards and reference architectures for AI/ML, GenAI platforms, and governance.

Skills

AI architecture leadership

Enterprise architecture

Governance

AI strategy

Education

Bachelore2s degree

15+ years IT experience

7+ years Enterprise Architecture Leadership

3+ years AI Enterprise Architect & Strategy

Job description

Penn Medicine seeks a senior leader to define and govern the enterprise AI technology strategy and architecture in a highly regulated healthcare setting. The AVP will drive multi-year roadmaps, architecture standards, and governance, partnering with security, legal, compliance, and clinical teams.

Responsibilities include leading an AI architecture team, ensuring safe and compliant AI investments, and aligning AI initiatives with clinical care, research, and operations.