Reimbursement Program Jobs in Washington DC

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Looking for Reimbursement Program jobs in Washington DC? Browse our curated listings with transparent salary information to find the perfect Reimbursement Program position in the Washington DC area.

Senior Scrum Master - Microsoft Dynamics

Company: Axxum Technologies

Location: Washington DC

Posted Jan 26, 2025

The job posting is for a Senior Scrum Master position for Microsoft Dynamics in Springfield, IL. The role involves managing project schedules, resources, risks, and reporting. The candidate will provide guidance, serve as an escalation point, support customers, and define requirements based on the latest Dynamics 365 architecture. Key responsibilities include facilitating SAFe Scrum ceremonies, coaching Scrum teams, removing impediments, and promoting cross-team collaboration. Required skills include Agile and SAFe expertise, Microsoft Dynamics knowledge, team facilitation and leadership, collaboration and communication, and impediment removal. Beneficial skills include backlog management, technical tools proficiency, continuous improvement, metrics and reporting, stakeholder management, adaptability, and relevant certifications. The company offers a generous benefits package and is committed to diversity, equity, and inclusion.

Lead Functional Consultant - ORACLE FUSION HCM CLOUD

Company: Axxum Technologies

Location: Washington DC

Posted Jan 26, 2025

The Lead Functional Consultant for Oracle Fusion HCM Cloud is responsible for driving the business analysis function of the CPS ERP Modernization Program. This role involves leading project and application support teams to deliver high-quality systems solutions for the implementation of Oracle Fusion HCM-related cloud services. The consultant will work closely with the Talent department to analyze as-is and to-be states, define data conversion and integration requirements, and facilitate workshops on key design decisions. They will also own the green field implementation of Oracle Fusion HCM ERP cloud, gather detailed functional and technical requirements, and conduct fit-gap analysis. The consultant will be involved in the evaluation and selection of third-party partners, educate the talent team on best practices, and drive a cadence of regression testing for each quarterly product release cycle.

Frequently Asked Questions

What are typical salary ranges by seniority for Reimbursement Program roles?
Entry‑level Reimbursement Analyst: $55k‑$70k annually. Mid‑level Analyst or Junior Revenue Cycle Manager: $70k‑$90k. Senior Analyst, Revenue Cycle Manager, or Claims Supervisor: $90k‑$120k. Director or VP of Reimbursement: $120k‑$160k+. These ranges vary by region and payer size.
What skills and certifications are required in Reimbursement Program positions?
Key skills include ICD‑10, CPT, HCPCS coding, claims adjudication, SQL, Tableau/Power BI, and knowledge of CMS regulations. Certifications such as AAPC CPC, CCS, or CCA, and payer‑specific credentials (e.g., Optum Claims Specialist) are highly valued. Proficiency in claims platforms (Trizetto, Cerner, Meditech) and data‑analytics tools is often required.
Is remote work available for Reimbursement Program roles?
Remote reimbursement roles are common, especially for analysts and data scientists. Companies rely on secure cloud‑based platforms—Epic Cloud, Cerner Open Developer Experience, and VPN access—to process claims and monitor dashboards. Most remote positions still require occasional on‑site visits for audit or compliance training, but daily work can be performed from any location with a reliable internet connection.
What are the career progression paths in Reimbursement Program?
Typical ladder: Claims Processor → Reimbursement Analyst → Senior Analyst → Revenue Cycle Manager → Director of Reimbursement → VP of Finance or Operations. Advancement often requires mastering data‑visualization, negotiation skills, and cross‑functional collaboration with IT, compliance, and clinical teams.
What are the current industry trends affecting Reimbursement Program roles?
The reimbursement landscape is shifting toward value‑based care, bundled payments, and real‑time analytics. AI and machine learning are increasingly used for fraud detection and predictive modeling. Interoperability standards like FHIR and HL7 are driving deeper data exchange between payers and providers, creating demand for specialists who can translate clinical data into reimbursement strategies.

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