Senior Manager AI Operations

Position Overview

The Senior Manager of AI Operations is the day-to-day operational driver across multiple AI Program initiatives ensuring each project moves through the programs lifecycle from chartering through governance and compliance approval processes to pilot evaluation and operational home transition. This role owns tracking reporting escalation and approval coordination serving as the connective tissue between the AI Programs cross-functional pods and Mayo Clinics institutional processes. The Senior Manager reports to the Director of AI Operations and is expected to independently manage a portfolio of concurrent initiatives keeping them on scope on schedule and moving cleanly through each gate.

The Senior Manager Artificial Intelligence (AI) plays a pivotal leadership role in advancing the strategic delivery operational effectiveness and usercentered execution of artificial intelligence and digital technology initiatives. This role bridges strategy and execution by translating enterprise priorities into scalable programs services and operational models that deliver measurable value.

The Senior Manager partners with clinical technical design operational and administrative teams to drive coordinated delivery of AI initiatives ensuring alignment with governance expectations enduser needs and enterprise objectives. This role serves as a strategic collaborator operational leader and change agent supporting the organizations digital and AI transformation.

Key Responsibilities

• Strategy & Execution: Translate enterprise and program strategies into executable plans; lead delivery of AI initiatives across platforms services and operational domains. Support lifecycle planning to ensure agility quality and continuous improvement.
• CrossFunctional Team Leadership: Lead and mentor multidisciplinary teams; navigate consensusbased matrixed environments; foster a culture of innovation accountability and collaboration.
• Stakeholder Engagement & Service Governance: Partner with clinical administrative and technical leaders to align priorities manage expectations and support service governance forums. Develop and maintain standards documentation and performance metrics.
• Research Insight & Business Case Development: Leverage user market and internal insights to inform solution design and prioritization. Support business case development ROI analysis and investment recommendations.
• Operational & Financial Management: Support operational planning cost modeling vendor management and contract execution across AI initiatives. Ensure sustainable and compliant delivery models.
• Change & Continuous Improvement: Identify opportunities to improve delivery processes service models and team effectiveness; support adoption change management.

Core Competencies

• Program & Service Delivery Leadership
• Strategic & Systems Thinking
• Stakeholder Partnership & Influence
• Financial & Operational Acumen
• Governance & Risk Awareness
• Change Leadership

Mayo Clinic will not sponsor or transfer visas for this position including F1 OPT STEM.

Position Qualifications

• Bachelors degree and 8 years of progressive experience in healthcare technology operations analytics or related fields required.
• Masters degree and 8 years of progressive experience in healthcare technology operations analytics or related fields preferred.
• Demonstrated experience leading teams and delivering complex initiatives in matrixed organizations preferred.

Preferred Qualifications

• Experience managing concurrent complex technology or AI initiatives through structured governance and approval processes in a healthcare or similarly regulated environment.
• Working familiarity with AI/ML development lifecycles including concepts like proof-of-concept design pilot evaluation criteria and production readiness standards.
• Demonstrated strength in initiative tracking milestone management escalation protocols and cross-functional coordination across matrixed organizations.
• Experience coordinating across legal privacy security and compliance review processes ideally in a model where a centralized governance body manages downstream reviews on the programs behalf.
• Strong documentation skills with the ability to produce committee-ready materials and standardized intake and approval artifacts.
• Comfort holding multiple stakeholders accountable to timelines and deliverables while maintaining collaborative relationships.