Data Migration Specialist (Healthcare SaaS)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Migration Specialist (Healthcare SaaS): Own end-to-end data migrations from legacy systems into platform with an accent on importing, mapping, cleaning, and validating patient, appointment, financial, and provider data. Focus on ensuring data accuracy, completeness, and alignment with customer workflows for successful go-lives.
Location: Remote (US)
Company
AI-powered practice management platform built for medical aesthetics and wellness practices, unifying EMR, POS, payments, patient engagement, and analytics.
What you will do
- Own end-to-end data migrations for new and expanding customers, including import and validation of patient, appointment, invoice, payment, provider, service, and membership data
- Map data from diverse legacy systems like EMRs, POS tools, spreadsheets, and exports; clean, normalize, and reconcile inconsistencies
- Perform QA checks to ensure post-migration data accuracy, completeness, and integrity
- Work directly with customers to define migration scope, timelines, explain requirements and tradeoffs, and support go-live readiness
- Troubleshoot migration issues and maintain/improve playbooks, templates, and tooling
- Collaborate with Customer Experience, Implementation, Product, and Engineering teams on execution, status, risks, and improvements
Requirements
- 3+ years of experience in data migration, implementation, or technical operations in SaaS
- Strong comfort working with CSVs, spreadsheets, and structured data
- Experience mapping data across systems with different schemas
- High attention to detail and ability to manage multiple migrations in parallel
- Clear communicator comfortable working directly with customers
Nice to have
- Experience with healthcare, EMR, POS, or financial data
- SQL experience
Culture & Benefits
- Mission-driven team transforming medical practices
- High-impact role tied to customer success and retention
- Collaborative, fast-moving environment with exposure to healthcare data and workflows
- Competitive compensation and benefits
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