Associate Manager - AI

Mayo Clinic; Rochester (MN); On-site; USD 120,000 - 180,000; Full time

Job summary

Mayo Clinic is seeking an Associate Manager - AI to drive execution and delivery of enterprise AI initiatives. The role coordinates across product, data science and clinical teams to move initiatives from intake to deployment while ensuring governance, timelines, and value realization.

The position emphasizes fluency in AI lifecycles, regulatory awareness, and collaboration with various stakeholders, without hands-on model building.

Qualifications

• Understanding of the AI solution lifecycle (data readiness, model deployment, monitoring).
• Familiarity with governance and responsible-AI practices.
• Awareness of healthcare regulatory and safety considerations (PHI/HIPAA).

Responsibilities

• Own day-to-day execution across the AI solution lifecycle from intake to deployment.
• Collaborate with directors, product leaders, data science and clinical partners to drive initiatives end to end.
• Move assigned initiatives to completion with governance, timeliness and value realization.

Skills

AI governance

AI lifecycle

Regulatory awareness

HIPAA data handling

Tools

AI platforms

Job description

The Associate Manager - AI drives the execution, coordination, and operational delivery of assigned enterprise artificial intelligence (AI) initiatives. This role owns day-to-day execution across the AI solution lifecycle — from intake and readiness through deployment, integration into clinical and operational workflows with the same pace, urgency, and delivery discipline expected across the AI program.

Working with directors, product leaders, data science and machine-learning teams, and clinical and business partners, the Associate Manager - AI partners with technical, product and internal customers to drive a focused set of AI initiatives end to end, maintaining focus on governance, timelines, and value realization. The Associate Manager - AI is expected to independently move assigned initiatives to completion.

The role requires working fluency — not hands-on model building — across the following:

• Understanding of the AI solution lifecycle: data pipelines and readiness, model development, validation, deployment, and monitoring.
• Familiarity with AI governance and responsible-AI practices.
• Awareness of healthcare AI regulatory and safety considerations (e.g., FDA Software-as-a-Medical-Device concepts, clinical validation, algorithm monitoring) and PHI/HIPAA data handling.
• Familiarity with predictive/traditional ML and generative AI / large language models, including common use cases, limitations, and evaluation approaches.
• Comfort partnering with product, analyst, data science, ML engineering, and MLOps teams, and evaluating AI platforms, tools, and vendor solutions.

This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position. Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.