Director of Engineering – AIML CDH

The Director of AI Engineering leads the strategy design and implementation of advanced artificial intelligence solutions across the organization. This role oversees teams responsible for building scalable AI models integrating machine learning into products and ensuring ethical and compliant AI practices. The director collaborates with product data and engineering leaders to drive innovation optimize performance and deliver AI capabilities that enhance customer experience and business outcomes.

This role will lead a team of approximately 25 engineers and manage engineering delivery of several products.

Digital Product and Platform Leadership: Lead the full product lifecycle: strategy prioritization development deployment and evolution. Ensure alignment between business strategy clinical operations and end-user needs. Apply Agile methodologies to deliver scalable high-impact digital solutions. Translate user insights into actionable roadmaps that shape clinical and consumer-facing platforms. Familiarity with regulatory standards (e.g. HIPAA WCAG) especially in healthcare settings.

Experience Design and Research: Champion a culture of user-centricity and evidence-based decision-making. Lead persona development journey mapping and usability testing efforts. Oversee the execution and maturation of experience design research methodologies tools and process standardization. Apply service design principles to identify friction points and inform optimization strategies.

Design Systems and Content Strategy: Oversee governance and scalability of enterprise-wide design systems and UX standards. Drive creation and maintenance of reusable UI components accessibility standards and brand guidelines. Collaborate with engineers and designers to ensure a consistent and inclusive digital presence. Develop content strategy frameworks to support institutional communication and engagement.

Information Security Leadership: Partner with technical teams and compliance leaders to guide cybersecurity priorities. Provide governance for enterprise information security policies and tools. Support incident response and risk mitigation activities with tactical leadership. Promote a culture of data stewardship awareness and proactive threat response.

Team Leadership and Organizational Development: Track record of innovation in complex matrixed environments. Demonstrated ability to navigate ambiguity and lead through change. Build and nurture high-performing diverse teams across geographies and disciplines. Mentor and develop team members instilling accountability and innovation. Establish measurable goals support professional development and promote collaboration. Drive operational excellence through structure planning and transparency.

Team Leadership and Organizational Development: Track record of innovation in complex matrixed environments. Demonstrated ability to navigate ambiguity and lead through change. Build and nurture high-performing diverse teams across geographies and disciplines. Mentor and develop team members instilling accountability and innovation. Establish measurable goals support professional development and promote collaboration. Drive operational excellence through structure planning and transparency.

Core Technical Skills:

• Deep understanding of machine learning algorithms supervised/unsupervised learning and reinforcement learning.
• Expertise in deep learning architectures (CNNs RNNs Transformers).
• Strong grasp of natural language processing (NLP) computer vision and recommendation systems.
• Familiarity with model versioning and continuous training pipelines.
• Advanced skills in Python and libraries like TensorFlow PyTorch Scikit-learn.
• Knowledge of distributed computing frameworks (Spark Ray etc.).
• Hands-on experience with cloud AI services (AWS SageMaker Azure ML GCP AI Platform).
• Knowledge of Generative AI (LLMs diffusion models).
• Familiarity with edge AI and real-time inference.
• Experience with AI compliance frameworks and model interpretability tools (SHAP LIME).
• Knowledge of AI ethics bias mitigation and explainability.
• Familiarity with privacy regulations (GDPR CCPA) and secure data handling.

Leadership & Strategic Skills:

• Experience in building and scaling AI engineering teams.
• Strong stakeholder management and ability to translate complex AI concepts into business value.
• Vendor evaluation and partnerships with AI technology providers.

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.

Bachelors degree in a related field (e.g. Computer Science Design Business Cybersecurity Health Informatics). Minimum of 10 years of progressive leadership experience in at least one of the following areas: digital health product development UX design enterprise security or systems operations. Proven experience leading large cross-functional teams and managing enterprise-level initiatives.

Advanced degree (e.g. MS MBA MDes MPH) in a relevant discipline preferred.

The ideal candidate will possess:

• 10 years in software engineering with at least 5 years in AI/ML leadership roles.
• Proven track record of delivering AI-driven products at scale.
• Experience in multi-domain AI applications (e.g. predictive analytics personalization automation).