Vice Chair - IT Software Engineering

Responsibilities

• Provides enterprise leadership for software engineering capabilities across the Department of Information Technology.
• Advances Mayo Clinic’s enterprise software engineering strategy, operating model, standards, platforms, and talent capabilities.
• Leads the functions responsible for Development Shared Services, AI/MLOps platform ownership, Sandbox and Developer Platform capabilities, and enterprise software engineering standards enablement.
• Ensures alignment with Mayo Clinic’s software engineering standards, secure software development lifecycle practices, enterprise architecture, security, privacy, resiliency, and operational expectations.
• Establishes an outcomes-focused, AI-enabled engineering framework designed to improve software quality, accelerate delivery, increase developer productivity, reduce technical debt, and strengthen operational reliability.
• Defines the future of IT software development, including the adoption of AI-assisted software engineering, modern DevSecOps practices, platform engineering, self-healing software capabilities, policy-as-a-service approaches, automated governance, and reusable enterprise development patterns.
• Pairs closely with Mayo Clinic’s Center for Digital Health on best practices and approaches for software engineering across Mayo Clinic.
• Ensures software engineering services, strategies, plans, technologies, processes, standards, and skills meet Mayo Clinic’s strategic objectives while keeping Mayo Clinic’s mission and values at the forefront.
• Develops organizational structures, decision rights, governance processes, and communities of practice that promote convergence, consistency, and efficient operations across software engineering activities.
• Builds and leads a high-performing organization and fosters a culture of excellence, efficiency, innovation, accountability, curiosity, continuous learning, and disciplined execution.

Qualifications

• Master’s degree in technology, computer science, software engineering, health care administration, business, cybersecurity, health informatics, engineering, or a related field; OR bachelor’s degree in technology, computer science, software engineering, health care administration, business, cybersecurity, health informatics, engineering, or a related field plus ten years of validated, progressive administrative leadership experience.
• Proven experience leading large, complex, cross-functional technical organizations and enterprise-level initiatives.
• Experience leading, building, maturing, or governing large-scale software engineering organizations, including direct or matrixed leadership of software engineers, shared services teams, platform teams, or embedded development teams.
• Advanced knowledge of modern software engineering practices, including secure software development lifecycle practices, DevSecOps, CI/CD, automated testing, cloud-native development, API and integration patterns, platform engineering, observability, reliability engineering, software supply chain security, and operational supportability.
• Experience with AI-enabled software engineering, AI/MLOps platforms, developer platforms, sandbox environments, policy as code, policy as a service, self-healing systems, site reliability engineering, and automated governance.
• Administrative experience working with physicians, scientists, administrators, technology leaders, and allied health staff, as well as a demonstrated ability to partner with senior leadership within the technology organization.
• Exceptional business acumen, the demonstrated ability to drive transformational change, excellent communication skills, strong team-building and collaboration skills, and the ability to influence effectively across a complex matrixed organization.
• The ability to consolidate multiple related activities into a comprehensive enterprise program, establish and govern standards across distributed teams, manage budgets, drive operational efficiency, and incorporate relevant industry trends.
• Models behaviors that contribute to success by embodying Mayo Clinic values, maintaining a customer-centric approach, fostering innovation in alignment with unified goals, demonstrating accountability and ambition, being flexible and adaptable, exhibiting curiosity and empowerment, relying on data- and value-driven decisions, and maintaining an action-oriented mindset.