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Lead operational excellence for MCL Operations including planning, budgeting, staffing, policy and systems implementation, project management, and multidisciplinary team leadership. Oversee logistics, specimen handling, field service teams, and performance metrics to support business objectives. Role requires onsite work and domestic/international travel.

Coordinates delivery of learning and leadership programs and events, managing registration, LMS tracking, and program materials. Assists with facilitation, develops new programs/processes, supports team goals, and provides customer-facing service while handling multiple projects.

Design and build cloud-based backend microservices for data-centric clinical and analytic applications. Collaborate with product, architecture, and data teams; implement DevOps pipelines and deployment automation; ensure resilience, scalability, uptime, and documentation; troubleshoot and perform root cause analysis; follow Agile practices and SDLC best practices.

Lead a team supporting, configuring, and optimizing Epic inpatient clinical modules (documentation, ordering, medication management). Oversee enhancements, incidents, change prioritization, and governance while partnering with clinical, pharmacy, informatics, and enterprise IT to ensure secure, compliant, and user-centered digital operations and analytics.

Manage national health-system accounts across a multi-state territory to drive new business, retention, and growth for Mayo Clinic Laboratories. Develop account strategies, lead cross-functional teams, engage executive stakeholders, communicate lab value propositions, coordinate internal resources, and manage the full sales lifecycle while meeting client and organizational objectives.

Coordinate patient visits and provider schedules in a multispecialty clinic, manage patient intake and demographics, verify insurance, process appointment communications and forms, navigate multiple electronic applications/devices, assist patients with kiosks and reminders, and provide administrative support across clinical teams, including occasional cross-coverage and travel.

Design, develop, and deploy AI/ML solutions (time series, LLMs, vision, NLP) for finance-related healthcare operations. Collaborate with multidisciplinary teams, build CI/CD and MLOps pipelines, ensure quality, regulatory compliance, and usability, and train staff on AI tools.

Designs, builds, and operates large-scale healthcare data pipelines and ecosystems to support analytics and AI/ML initiatives. Partners with product owners and clinical stakeholders to retrieve, transform, and optimize structured and unstructured data across hybrid and multi-cloud environments. Provides technical leadership, architects scalable cost-efficient solutions, ensures secure compliant access to data, and supports development of foundation models and agentic systems.

Lead end-to-end AI/ML lifecycle for clinical applications: design foundation and multimodal models, develop and deploy production-grade solutions, ensure regulatory compliance and quality systems, build CI/CD and MLOps tooling, provide technical leadership, mentorship, and cross-functional consultation to integrate AI into clinical workflows.

Architect front-end Revenue Cycle solutions by partnering with operations to define outcomes, designing Epic and vendor-integrated solutions, guiding vendor evaluations, enabling cross-functional delivery, and aligning roadmaps with Epic releases and emerging AI/automation capabilities.