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Senior Principal Enterprise Architect, Infrastructure & DR Strategy
Penn Medicine is hiring for the role of Senior Principal Enterprise Architect, Infrastructure & DR Strategy, Philadelphia, PA (On-site). This is an AI Governance role in the governance, risk, and compliance field. Review the full details below and apply directly with Penn Medicine.
This senior individual-contributor role defines, owns, and governs the organization's enterprise infrastructure architecture strategy and enterprise-wide Disaster Recovery strategy within a complex, highly regulated academic healthcare environment. Leads definition of the enterprise DR strategy as a primary near-term deliverable, including recovery principles, recovery tier classifications, RTO/RPO standards, and DR architecture patterns across on-premises, cloud, and hybrid environments, while governing enterprise infrastructure architecture standards across compute, storage, networking, virtualization, and hybrid cloud. Develops recovery tier classification standards and system criticality tiers; designs and governs DR and resilience architecture patterns; leads enterprise DR scenario planning; and collaborates with Cybersecurity and Risk Management on cyber-resilience including ransomware recovery design, immutable backup architecture, and recovery isolation for the HIPAA-regulated environment. Maintains DR architecture documentation suitable for governance, audit, and accreditation. Education and experience: Bachelor's degree in a related field and 10+ years of IT experience with 5+ years in enterprise or infrastructure architecture and 5+ years of hands-on DR strategy and architecture experience in regulated environments.
Location and market context
This role is based in Philadelphia on-site. Local candidates benefit from being close to Penn Medicine's teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.
About AI governance roles
AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Roles like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.
How to position yourself for this AI governance role
Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how Penn Medicine would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.
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