Clinical and EHR Data Specialist

Company Description JOS Group LLC is a technology and consulting firm with over two decades of experience serving Federal, State, Local, and commercial clients. The company is recognized for its ability to look beyond standard approaches, provide thought leadership, and apply innovation to improve business outcomes. JOS Group uses technology as an enabler to reduce operational costs, increase efficiency, and accelerate delivery. The organization is committed to aligning business and IT goals through the right talent, tools, and processes, with a core focus on human empathy, measurable impact, and mission-critical success. Its “business first” philosophy guides work in areas such as fraud prevention, quality of care, and organizational transparency.
Role Summary
We are seeking a Consultant or Senior Consultant with a background in applied health, clinical informatics, healthcare data, or a related field to serve as a Data Aggregator Coordinator. This individual will design and coordinate solutions that enable the exchange of CMS data and the receipt, integration, and use of third-party clinical and commercial claims data.
This role will lead the strategic approach and oversight for translating business and data requirements into practical technical solutions, including data flows, data dictionaries, source-to-target mappings, validation rules, and technical specifications. The ideal candidate is comfortable reviewing code logic and assessing how requirements are implemented in data pipelines and analytical solutions.
Role Description
Key Responsibilities
Coordinate the aggregation and exchange of CMS, clinical, and commercial claims data.
Lead the develop and maintenance of data flows, data dictionaries, source-to-target mappings, and data lineage documentation.
Oversee and guidance the translation of business requirements into detailed technical specifications for data ingestion, transformation, validation, and delivery.
Oversee the development and implementation of technical requirements across data engineering and analytics teams.
Review code logic, transformation rules, and data pipeline designs to confirm alignment with approved requirements.
Identify data quality issues, integration gaps, and inconsistencies across source systems.
Inform/oversee the validation criteria and support testing of data completeness, accuracy, timeliness, and usability.
Coordinate with business, clinical, technical, and external data-provider stakeholders.
Facilitate discussions related to data structures, flows, file layouts, data elements, terminology, and exchange requirements.
Track decisions, dependencies, risks, and outstanding actions with the data operations workstream.
Support the development of repeatable and scalable processes for onboarding new data sources.
Create clear documentation for technical and nontechnical audiences.
Required Qualifications
Bachelor’s degree in health informatics, clinical informatics, computer science, data analytics, or a related discipline.
Relevant experience with healthcare data, clinical data, claims data, CMS data, or health information exchange.
Experience translating business requirements into technical requirements and implementation specifications.
Strong understanding of data structures, data flows, data integration, and data quality concepts.
Ability to read and understand code logic, including how requirements are implemented in data transformations and pipelines.
Experience developing or reviewing data dictionaries, mapping documents, technical specifications, and validation rules.
Strong communication, coordination, documentation, and stakeholder-management skills.
Ability to manage multiple data workstreams and drive deliverables to completion.
Preferred Qualifications
Experience with Databricks, Delta Lake, or cloud-based data platforms.
Experience with SQL, Python, or similar languages used for data transformation and validation.
Familiarity with healthcare coding systems and data standards, such as ICD, CPT, HCPCS, NDC, LOINC, or FHIR.
Experience coordinating data onboarding, data-sharing, or data-exchange initiatives.
Knowledge of data governance, privacy, security, and compliance considerations for healthcare data.
Experience working in Agile or multidisciplinary delivery environments.

Work arrangement
Yes