Senior Program Analyst (Remote Opportunity)

VetsEZ•Raleigh, NC

7d•Remote

About The Position

VetsEZ is seeking a Senior Program Analyst to support a healthcare modernization initiative with the Department of Veterans Affairs. The role supports enterprise data integration and site conversion activities, especially the management, improvement, and support of cutover data extracts and associated applications. The analyst will apply expertise in extract logic, data workflows, and clinical data verification to support VA Electronic Health Record (EHR) site conversions. The position requires U.S. citizenship and the ability to obtain and maintain a Public Trust clearance. Selected candidates must complete fingerprinting at a government facility and undergo a background check. Sponsorship is not available.

Requirements

Bachelor's degree in a business discipline, or eight years of additional relevant experience in place of the degree.
At least 10 years of experience.
Experience supporting large-scale federal programs, particularly in data migration, system implementation, or healthcare IT.
Demonstrated experience creating, executing, and supporting data extracts in complex healthcare environments.
Strong understanding of healthcare data domains such as appointments, medications, labs, and consults, and their relationship to EHR implementations.
Familiarity with DAWA and ability to support its ongoing functionality and user interactions.
Ability to lead and support remote, multidisciplinary teams under high-pressure timelines.
Excellent written and verbal communication skills, including experience presenting data quality findings and progress updates to senior stakeholders.
U.S. citizenship and ability to obtain and maintain a Public Trust clearance.

Nice To Haves

Prior experience supporting EHR go-lives at VA or other federal healthcare agencies.
Working knowledge of the VX130 platform and associated data flows.
Familiarity with SQL, Power BI, and Excel-based tools for analysis and tracking.
Experience supporting data verification in mirrored IRIS or HealthShare environments.
Certifications such as PMI-PBA, SAFe Scrum Master, or equivalent.
Experience using AI tools, such as Microsoft 365 Copilot, to analyze extract results and data discrepancies, identify patterns and anomalies, and prioritize remediation, with the analyst validating findings.
Experience using AI-assisted tools to refine and troubleshoot extract logic and SQL for cutover extracts, including reviewing and testing AI-generated changes before use.
Experience using AI tools to draft and maintain extract runbooks, site tracking sheets, validation documentation, support logs, and lessons learned.
Experience using AI tools to summarize conversion readiness indicators and prepare go/no-go briefings and progress updates, with the analyst verifying accuracy before release.
Familiarity with secure and responsible AI use in federal healthcare environments, including protecting PHI/PII, using agency-approved AI tools, and following VA and federal AI guidance.

Responsibilities

Serve as a subject matter expert on VA cutover extract processes and refine and enhance extraction logic and methodology.
Maintain and evolve extract routines used to transfer clinical data, including appointments, medications, lab orders, and consults, during site conversions.
Provide support during pre-go-live, go-live, and post-go-live phases to help ensure data completeness and accuracy for newly onboarded VA medical centers.
Support and maintain DAWA and other tools used in the cutover extract and data validation lifecycle.
Analyze data discrepancies between legacy and new EHR systems and coordinate remediation with technical teams.
Create and update extract runbooks, site tracking sheets, validation documentation, and support logs.
Collaborate with data engineers, clinical subject matter experts, and government stakeholders to support extract integrity, timeliness, and compliance.
Monitor conversion readiness indicators and support decision-making on extract go/no-go milestones.
Document lessons learned and contribute to continuous improvement of conversion and extract processes.