Distinguished Enterprise Architect - Robotics

Mayo Clinic•Rochester, MN

1d•$185,245 - $277,867

About The Position

Robots already work at Mayo Clinic, cleaning our floors, moving millions of laboratory specimens, and assisting in our operating rooms. Yet this is less than one percent of what is possible. Over the next decade, robotics will advance from sensor-driven, single-purpose machines to AI-driven autonomous systems, including generalist and humanoid robots, and Mayo Clinic intends to lead across that entire continuum, from the operating room to the loading dock. The Mayo Clinic Robotics Program exists to pioneer human-centered robotics that expands access and creates an empowered, safe, more personalized, and convenient experience for patients and staff, cementing Mayo Clinic as the global leader in healthcare while freeing our people for the human work of healing. Within this program, the Distinguished Enterprise Architect - Robotics is the senior technical authority and the architect of how an entire enterprise of robots will work together. Mayo's robotics future will not be built by a single vendor; it will be a growing, heterogeneous fleet from many manufacturers sharing the same corridors, laboratories, and operating rooms. This architect defines the enterprise standards, reference architecture, and vendor evaluation framework that make such a fleet coherent: how robots interoperate, how their data is owned and shared, how they are observed and orchestrated across vendors, and how they meet Mayo's expectations for safety, security, and reliability. The role sets multi-year technical direction for the shift toward AI-driven autonomy and ensures that everything built or bought today becomes a foundation rather than a dead end.

Requirements

Bachelor's degree in computer science, information systems, systems engineering, or other relevant degrees.
Fifteen (15) years of relevant technology experience.
TOGAF Enterprise Architecture Practitioner or TOGAF 9 Certified certification required within 12 months of employment.

Nice To Haves

Master's degree in computer science, information systems, systems engineering, or other relevant degree.
Demonstrated architecture or technical leadership as a Principal, Chief, Distinguished, Fellow, or equivalent senior technical authority.
TOGAF EA Leader credential.
Deep, demonstrated expertise architecting multi-vendor robotics or cyber-physical systems at enterprise scale, spanning robot platforms, fleet management, connectivity, data, and security, rather than single-vendor or single-site deployments.
Working command of robot interoperability standards and frameworks such as VDA 5050, Open-RMF, and OPC UA.
Working command of healthcare data standards such as HL7 (including FHIR).
Experience defining vendor evaluation frameworks, interoperability and data-rights requirements for procurement, and reference architectures that bind a multi-vendor ecosystem.
Architecture experience with fleet observability, telemetry, and cross-vendor orchestration.
Familiarity with mobile and service robot safety standards such as ANSI/A3 R15.08, ISO 3691-4, and ISO 13482.
Familiarity with cybersecurity frameworks for connected medical and operational technology such as ISA/IEC 62443 and IEC 81001-5-1.
Perspective on the shift toward AI-driven autonomy (generalist and humanoid systems, learning-based methods, and simulation) sufficient to set multi-year technical direction and guardrails.
Healthcare or other safety-critical, highly regulated environment experience.
Recognized external presence through standards bodies, publications, patents, or industry leadership.

Responsibilities

Define enterprise standards, reference architecture, and vendor evaluation framework for a heterogeneous fleet of robots from many manufacturers.
Ensure robots interoperate, manage data ownership and sharing, and facilitate observation and orchestration across vendors.
Meet Mayo's expectations for safety, security, and reliability for the robotics enterprise.
Set multi-year technical direction for the shift toward AI-driven autonomy.
Ensure that current robotics development serves as a foundation for future advancements.