Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. Why This Role Matters Healthcare data sits behind nearly every clinical and operational decision, and athenahealth plays a leading role in helping providers access and use that data at scale. Imports and Migration are two of the most visible and high-stakes services within this broader data services landscape. From onboarding and data intake to ongoing imports, validation, monitoring, and support, these services must work together as a coherent whole to earn trust and scale reliably. This role exists to bring clarity, direction, and momentum to the seams between systems, services, and people, especially where ownership spans teams, platforms, and operational groups. You’ll help ensure that data services are not only reliable, but predictable, transparent, and increasingly proactive, so care teams can rely on them with confidence, even as complexity grows. When data services work well, clinicians can focus on care instead of systems, teams move faster with less rework, issues are surfaced and resolved earlier, and decisions improve across the organization. This work directly enables doctors to be doctors, making care feel closer, more human, and better supported by the systems behind it. Role Summary As a Lead Experience Designer, you’ll own and shape the end-to-end service experience that enables safe, reliable data migration into athenaOne, powered by our data import capabilities. You’ll set direction across seams, connecting customer experience, internal operations, and platform capabilities into a coherent service model. You’ll design how customers and internal teams request, configure, monitor, and resolve data migrations, connecting customer-facing tools with the operational and technical systems behind them. This is a hands-on Lead IC role focused on a clearly defined service area that plays an outsized role in onboarding success. You’ll establish experience with north stars, ground decisions in research, and use systems thinking to guide teams through complexity and ambiguity. You’ll be expected to use AI as a first-class design lever, both to accelerate design work and to improve how the service itself operates. Over time, you’ll apply the same service design and AI-first mindset to closely related data workflows, including population health and value-based care (VBC) data pipelines, as well as other forms of bulk data movement such as migrations or exports for analytics and reporting, optimizing for system coherence as scope and complexity expand.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed