Technical Project Manager - Healthcare Data
R
Rezilient HealthHealthTech
United StatesFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3+ years
- Required Skills
- PythonSQLTableauMicrosoft ExcelGoogle SheetsHIPAA
Requirements
- 3+ years in a healthcare data role (payer, provider, TPA, benefits admin, or healthtech)
- 2+ years of experience in a quickly growing HealthTech organization (preferred)
- Advanced Excel/Google Sheets (VLOOKUP/XLOOKUP, INDEX-MATCH, pivots, text parsing, data validation, deduping)
- Experience with eligibility and claims data
- Intermediate SQL skills
- Intermediate Python skills
- Working knowledge of HIPAA/PHI handling
- Proven attention to detail and accuracy with large, messy datasets and tight timelines
- Excellent verbal and written communication skills, including documentation
- Strong critical thinker with the ability to partner cross-functionally
- Willingness to wear multiple hats and pivot as needed
- Familiarity with EHR/EMR extracts (e.g., Athena), benefits platforms/TPA portals, and clinical data (preferred)
- Experience with simple BI tools (Looker Studio/Tableau) (preferred)
Responsibilities
- Own end-to-end data quality workflows to ensure reliable, high-integrity data flows from source systems into Rezilient Health’s warehouse across clinical, eligibility, and claims datasets.
- Execute hands-on spreadsheet and file-based work to clean, standardize, reconcile, and validate data from payers, employers, TPAs, and EHR systems.
- Perform eligibility matching and ongoing roster maintenance (adds, terms, changes), track variances, and resolve discrepancies across employer and partner populations.
- Validate eligibility and claims data against source systems, proactively flag anomalies, document root causes, and drive resolution through clear audit trails.
- Maintain accurate employer, plan, and member mappings, including consistent naming conventions and relationship logic across systems.
- Build scalable checks, templates, SOPs, and controls that make recurring work consistent, auditable, and easier to operate over time.
- Intake and clarify data requests from Operations, Clinical, Finance, and partners; translate ambiguous needs into structured deliverables and timelines.
- Communicate progress, risks, and findings clearly to non-technical stakeholders while serving as a trusted data resource across teams.
- Partner with engineering and operations to support integrations between source systems and the data warehouse, improving reliability, monitoring, and lifecycle support.
- Identify opportunities to improve data consistency, operational rigor, and process automation as Rezilient Health scales employer and partner implementations.
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