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Support Department of Defense financial management clients through audit remediation, internal control testing, risk assessments, business process mapping, financial reporting, compliance improvement, and process change initiatives. Apply GAAP, GAGAS, ICOFR, OMB policies, DoD financial management practices, and ERP knowledge. The role requires maintaining an active Secret clearance and working onsite at least two days per week, with travel up to 25%.

Develops and supports financial management transformation initiatives for Department of War clients. The role improves finance and accounting processes through technology solutions, data structures, automation, analytics, auditability, and modernization aligned with federal standards. Responsibilities include leveraging Power Apps, Foundry, data platforms, cloud technologies, visualization tools, and programming languages to enhance operational efficiency and deliver actionable insights.

Supports Department of War financial management transformation initiatives by modernizing finance and accounting processes, data structures, automations, and technical operations. Delivers technology-enabled insights, auditability, operational efficiency, and compliance with federal standards. Responsibilities may include data analytics, automation, visualization, cloud platforms, financial systems, and audit readiness support.

Provides financial management consulting for Department of Defense clients, focusing on audit remediation, internal controls, business process mapping, risk assessments, financial reporting, compliance, and process improvement. Requires federal financial management experience, an active Secret clearance, and onsite work at least two days per week. Preferred qualifications include a master’s degree, DoD financial management experience, and professional certifications such as CPA, CIA, CISA, PMP, CGFM, CDFM, SAFe, or ITIL.

Supports Department of Defense financial audit readiness and remediation, including audit liaison activities, internal controls testing, corrective action planning, financial statement reporting, and business process improvement. Applies GAAP, GAGAS, ICOFR, DoD financial policies, OMB requirements, and ERP knowledge. Collaborates with clients and stakeholders, presents findings, manages multiple priorities, and helps sustain compliance in a hybrid office environment.

Supports Department of Defense financial management initiatives through audit remediation, internal control testing, business process mapping, risk assessment, financial reporting, and process improvement. Applies GAAP, GAGAS, ICOFR, DoD policies, OMB guidance, and ERP-related financial management practices. Requires an active Secret clearance, bachelor’s degree, five or more years of relevant experience, and at least two days onsite. Preferred qualifications include a master’s degree, federal financial management experience, and professional certifications.

Leads AI and data consulting workstreams focused on fraud detection, payment integrity, and improper-payment analytics. Designs and deploys scalable machine learning models, analytics workflows, and fraud rules; partners with clients to identify use cases; presents deliverables to executives; mentors junior consultants; and ensures governance, security, and responsible AI compliance.

Leads enterprise data architecture for a secure Databricks lakehouse, including Unity Catalog governance, canonical HR data models, DataOps, ingestion, orchestration, APIs, migration, metadata, lineage, quality, and data-product standards. Serves as deputy data workstream lead, guides architecture decisions, reviews technical deliverables, communicates tradeoffs, mentors architects and engineers, and provides technical quality assurance.

Design, develop, validate, and deploy production-grade AI/LLM solutions for revenue cycle management. Build RAG and agent-based applications, containerized AI services with Docker/Kubernetes, implement CI/CD and MLOps, integrate with enterprise data pipelines, support evaluation and human-in-the-loop workflows, and ensure scalable, reliable production operations.

Design, build, and operate scalable cloud-native data pipelines and data lake/fabric architectures for Revenue Cycle Management. Implement ETL/ELT, integrate structured and unstructured sources and APIs, ensure data quality, lineage, and governance, and support AI/ML and analytics workloads with CI/CD and DevOps practices.