Director - AI Digital Pathology

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights

* Medical:
Multiple plan options.

* Dental:
Delta Dental or reimbursement account for flexible coverage.

* Vision:
Affordable plan with national network.

* Pre-Tax Savings: HSA and FSAs for eligible expenses.

* Retirement:
Competitive retirement package to secure your future.

Responsibilities

The Director - Artificial Intelligence (AI) leads the engineering and research team that builds and delivers Mayo Clinic Dig Path's digital-biology technology platforms, accountable for translating the organization's vision into validated, deployed products. Working closely with the Vice President, Digital Biology, the Chief Medical Officer, and the Chief Science Officer, the Director helps shape technical direction and owns its execution-the roadmap, delivery, and technical quality for Dig Path's core model and platform portfolio, including foundation and task-specific models, AI Virtual Cells, biological digital twins, and digital biomarker discovery.

Directing a multidisciplinary team of AI/ML engineers, software developers, and research scientists, the Director turns clinical and scientific priorities into engineering execution - partnering with the CMO for clinical relevance and the CSO for scientific rigor - to consistently ship breakthrough tools with speed, technical excellence, and unwavering focus on Mayo Clinic's core value: the needs of the patient come first.

The Director partners closely with executive leaders, clinical and business stakeholders, and technical teams to ensure AI initiatives are aligned with enterprise strategy, governance expectations, and operational readiness. The role leads multidisciplinary teams across product, operations, and technology and serves as a key connector between strategy and execution.

Key Responsibilities

* AI Strategy & Program Leadership:
Lead development and execution of enterprise AI strategy and multi-year roadmaps aligned with organizational goals.

* Portfolio Oversight:
Oversee intake, prioritization, and sequencing of AI initiatives; balance value, feasibility, risk, and capacity across portfolios.

* Cross‑Functional Leadership:
Partner with clinical, operational, technical, legal, compliance, and data leaders to advance AI initiatives from concept through deployment.

* Governance & Responsible AI:
Ensure AI initiatives adhere to governance frameworks, ethical standards, regulatory requirements, and risk management practices.

* Operational Enablement:
Establish operating rhythms, performance metrics, and reporting mechanisms to track progress, outcomes, and value realization.

* Stakeholder Engagement:
Serve as a trusted advisor to senior leaders; communicate AI strategy, progress, and impact through executive‑level updates and presentations.

* People & Team Leadership:
Lead, develop, and support managers and senior professionals; foster a culture of accountability, collaboration, and continuous improvement.

* Financial & Resource Stewardship:
Support budget planning, resource allocation, and business case development for AI initiatives.

Core Competencies

* Enterprise AI & Digital Strategy

* Executive Presence & Influence

* Change Leadership & Resilience

* Ethical & Responsible AI Stewardship

* Cross‑Functional Collaboration

* Program & Portfolio Management

This is a hybrid position and incumbent must live within 100 miles of the Rochester, MN campus.

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

Qualifications

* Bachelor's degree and 10 years of progressive experience in healthcare, technology, operations, analytics, or related fields with demonstrated leadership responsibility required.

* Master's degree and 10 years of…