[Hiring] Senior Manager, Data Imports and Migrations @athenahealth

Role Description

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.

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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• Base pay depends on multiple factors, including job-related experience, relevant knowledge and skills, and geographical market rates.
• Short and long-term incentives by way of an annual discretionary bonus plan, variable compensation plan, and equity plans.
• Health and financial benefits, including commuter support, employee assistance programs, tuition assistance, and collaborative workspaces.
• Flexibility to balance work-life, with consistent communication and digital collaboration tools.
• Events throughout the year, including book clubs, external speakers, and hackathons.
• A company culture based on learning, support, and inclusivity.