Job Description

Location: Linthicum Heights, MD

Clearance: Active Top-Secret clearance with SCI eligibility required

Education: BA/BS plus 10 years relevant experience, or MA/MS and 8 years relevant experience, or PhD plus 5 years relevant experience

*Relevant experience defined under qualifications

Salary Range: $145 - 155k

Outcomes:

The successful candidate is expected to accomplish the following outcomes during the first year in the position:

• Formally track all tasks, to include assigned by, suspense, status, and comments on all assigned tasks through completion and be prepared to brief upon request.
• Develop digital continuity folders and files that include standard operating procedures, workflows and POC lists to accomplish all tasks.
• Create 2-3 products beyond the client’s requirements that positively impact the client to either increase efficiency, effectiveness, or innovation.
• Establish foundation in AI/ML skills and contribute to AI/ML operationalization and modernization goals and objectives.
• Master position tasks within 60 days and exceed requirements within 90 days.
• Use government provided Generative AI tools on a day-to-day basis to accelerate tasks, research, documentation, analysis, planning, reporting, and problem solving.
• Make recommendations on process improvements and practices that improve quality, speed and/or efficiency.

Responsibilities:

The ER Lead Finance Manager SME supports Department of Defense Cyber Crime Center (DC3) Enterprise Management and Resources (ER) Directorate providing financial advice, analysis, planning, and execution support in accordance with this PWS.

Per PWS section 2.3, Financial Management, The Lead Financial Manager SME responsibilities include but are not limited to:

• Provide leadership and SME advice and support related to budget formulation, execution, forecasting, and financial documentation for highly technical programs and projects.
• Research, analyze, and evaluate financial and manpower data from Government-provided systems, databases, and records to identify trends, anomalies, and potential resource gaps.
• Develop long-range financial plans, detailed budget forecasts, and multi-year funding profiles to support program and project execution.
• Monitor the execution of approved financial plans, provide data-driven insights, and recommendations to support effective resource allocation and financial performance monitoring.
• Produce budget execution analytics (obligations vs. plan, burn rates, anomalies)
• Expand execution analysis to include monthly delta summaries, color-coded execution risk indicators, and variance narratives that enable Government leadership to quickly identify projected shortfalls or overspending risks
• Provide visualization products (tables, charts, infographics) to illustrate execution patterns across fiscal quarters and color-coding of high-risk accounts
• Compare execution patterns against historical data to identify predictive trends relevant to programming decisions.
• Provide historical trend analysis covering forecasts, expenditures, capability gaps, and anomalies.
• Include crosswalks between Congressional marks, DoW/DoD-level adjustments, and DC3 impacts where historical data allows alignment
• Maintain financial data matrices, mapping manpower, procurement, Research, Development, Test, and Evaluation (RDT&E), and Operations and Maintenance (O&M) lines.
• Update financial matrices monthly to ensure alignment with current execution status, appropriation rules, and fiscal year transitions.
• Maintain traceability between program requirements, funding lines, and appropriation categories, providing a consistent framework for Government decision-making.
• Provide data-integrity checks of Government-provided systems to highlight inconsistencies or missing financial information, annotated for Government review.
• Achieve and maintains 100% audit readiness with zero major discrepancies in financial execution, property management, and inventory control audits
• Create five-year resource projection models based on Government parameters. These models shall be presented by January 31 of each year (Section 4, Deliverable 9)
• Develop an annual Funding Constraint Summary Report to track changes in constraints, marks, or guidance (Section 4, Deliverable 10)
• Produce a Financial Status Report by the last business day of each month (Section 4, Deliverable 11), to include the Funding Impact Assessment, execution summary, risks and outlook.

Qualifications:

The candidate must have the following qualifications:

• BA/BS plus 10 years relevant experience in the areas listed below, or MA/MS and 8 years relevant experience in the areas listed below, or PhD plus 5 years relevant experience in the areas listed below.
• Demonstrated ability to conduct comprehensive budget and data analysis to inform financial planning and execution
• Extensive experience with manpower and budgetary databases, including the Automated Budget Interactive Data Environmental System (ABIDES), interlink Resource Management Information System (iRMIS), and the Program Budget Execution System (PBES), to manage and report on financial resources.
• Applied deep knowledge of the Planning, Programming, Budgeting & Execution (PPBE) process to guide financial decision-making and resource allocation.
• Proven success in proactively managing tasks and collaborating effectively with stakeholders at all organizational levels to achieve strategic objectives.
• Exceptional organizational and interpersonal skills, evidenced by the ability to effectively communicate complex information and build consensus in both written and oral forums.

The following qualifications are desired:

• Experience supporting DoW, Intelligence Community, and/or the Air Force (desirable).
• Certifications as a certified Financial Professional (i.e. CPA, CDFM, other) (desirable).
• Knowledgeable and skilled in applying Generative AI (desirable).

Travel: Local travel and occasional long-distance travel outside a 50-mile radius may be required, < 10%.

Other Requirements: