Director of Engineering – AI/ML - CDH - Remote

Mayo Clinic is a top-ranked healthcare provider dedicated to putting patient needs first while investing in employee development. The Director of Engineering – AI/ML will lead the strategy, design, and implementation of AI solutions, overseeing teams to build scalable models and ensure ethical practices, while collaborating with various stakeholders to enhance customer experience and business outcomes.

Responsibilities:

• Lead the strategy, design, and implementation of advanced artificial intelligence solutions across the organization
• Oversee teams responsible for building scalable AI models, integrating machine learning into products, and ensuring ethical and compliant AI practices
• Collaborate with product, data, and engineering leaders to drive innovation, optimize performance, and deliver AI capabilities that enhance customer experience and business outcomes
• 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
• 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
• 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
• 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
• 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

Requirements:

• Bachelor's 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
• 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)
• Advanced degree (e.g., MS, MBA, MDes, MPH) in a relevant discipline