Director of Engineering – AI/ML - CDH - Remote
United States of America
Full Time
2 weeks ago
$182,000 - $272,000 USD
No H1B
Key skills
Machine learning algorithmsSupervised learningUnsupervised learningReinforcement learningDeep learning architecturesCNNsRNNsTransformersNatural language processingComputer visionRecommendation systemsModel versioningContinuous training pipelinesPythonTensorFlowPyTorchScikit-learnDistributed computing frameworksSparkRayAWS SageMakerAzure MLGCP AI PlatformGenerative AILLMsDiffusion modelsEdge AIReal-time inferenceAI compliance frameworksModel interpretability toolsSHAPLIMEAI ethicsBias mitigationExplainabilityPrivacy regulationsGDPRCCPASecure data handlingAI engineering team leadershipStakeholder managementVendor evaluationStrategic thinkingAIArtificial IntelligenceMachine LearningMLAnalyticsAgileLeadershipUsability TestingCommunicationCollaboration
About this role
Mayo Clinic Healthcare London is seeking a Director of Engineering focused on AI/ML to lead the strategy and implementation of advanced artificial intelligence solutions. This role involves overseeing a team of engineers to build scalable AI models and integrate machine learning into products while ensuring ethical practices and collaboration across various departments.
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
- 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
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