Role Summary

You will lead a team focused on moving healthcare data into athenahealth systems with accuracy, consistency, and care. In this remote-US role, you will oversee the design, development, and support of data import, migration, transformation, and export processes that help practices transition from legacy EHR environments to athenahealth. You will partner across Sales, Product, Implementation, Operations, and Engineering to guide technical strategy, improve delivery reliability, and ensure high-quality execution. This position is based remotely in the United States and reports to the Director, Data Imports & Migrations.

Team Summary

The Data Imports and Migrations team supports customer implementations and data transition efforts by building repeatable, scalable processes for bringing in and transforming legacy healthcare data. The team works closely with product, implementation, engineering, and operations partners to define migration approaches, create ETL routines, validate data quality, and support export activities. The work is focused on delivering dependable data movement that helps customers get started on athenahealth with greater confidence and less disruption.

Essential Job Responsibilities

• Lead and develop a team of data engineers responsible for ETL workflows that extract, transform, and load data from source systems into athenahealth environments.

• Provide technical direction for Python-based tools, utilities, and automation used to support import, migration, validation, reconciliation, and troubleshooting activities.

• Partner with internal stakeholders to define source-to-target mappings, business rules, migration requirements, and technical approach.

• Review inbound and outbound data flows to identify gaps, defects, transformation issues, and opportunities for improvement.

• Oversee interoperability workflows using HL7 and FHIR standards and ensure data movement approaches align with technical and business requirements.

• Support EHI export-related activities and ensure output is complete, accurate, and compliant with expectations.

• Investigate complex data issues, help remove blockers, and drive resolution across cross-functional teams.

• Establish and maintain technical documentation for processes, dependencies, standards, validation steps, and operational procedures.

• Use AI to improve team productivity in data analysis and development tasks while ensuring human review is used to validate accuracy and appropriateness of outputs.

• Coach, mentor, and support team members through technical guidance, performance feedback, and career development.

Additional Job Responsibilities

• Drive process improvements that increase the scalability, reliability, and repeatability of migration work.

• Support testing and validation strategies for data import and export processes.

• Participate in project planning, prioritization, status reviews, and issue triage as needed.

• Maintain reusable tools, templates, and engineering standards for migration work.

• Promote documentation quality and knowledge sharing across the team.

• Coordinate across product, implementation, operations, and engineering partners to align on timelines, dependencies, and delivery expectations.

• Identify opportunities to reduce manual effort through automation, better process design, and improved operating models.

• Contribute to team planning, capacity management, and work intake prioritization.

• Build and strengthen an operational nerve center across projects to improve visibility, accountability, reporting, and escalation handling.

Expected Education & Experience

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.

• 7+ years of experience in data engineering, ETL, data migration, or a related technical discipline.

• 2+ years of experience leading engineers, mentoring technical staff, or managing technical projects/teams.

• Experience working with ETL, SQL, and Python.

• Experience supporting data imports, conversions, migrations, or similar data movement work.

• Familiarity with HL7 and FHIR interoperability standards.

• Experience with EHI Export or related healthcare data export workflows preferred.

• Experience working with healthcare data, healthcare technology, or implementation-focused teams preferred.

• Demonstrated ability to analyze data, identify issues, and communicate technical results clearly.

• Strong problem-solving, communication, collaboration, and stakeholder management skills.

• Ability to work effectively in a remote, cross-functional environment.

Expected Compensation

The base salary range shown reflects the full range for this role from minimum to maximum. At athenahealth, base pay depends on multiple factors, including job-related experience, relevant knowledge and skills, how your qualifications compare to others in similar roles, and geographical market rates. Base pay is only one part of our competitive Total Rewards package - depending on role eligibility, we offer both short and long-term incentives by way of an annual discretionary bonus plan, variable compensation plan, and equity plans.