Principal Analytics ManagerGeneral InformationRequisition # 681Locations USA-VA-Arlington
Posting Date 03/20/2026
Security Clearance Required - ACTIVE IRS MBI
Remote Type Hybrid
Time Type Full time
Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Principal Analytics Manager to join our team in Arlington, VA. This is a hybrid position with several days onsite over the course of a month.
We are seeking a Principal Analytics Lead to provide strategic and operational leadership for a mission-critical analytics program focused on fraud detection and identity theft prevention. This role oversees complex analytical initiatives operating under filing-season timelines and ensures the delivery of high-impact analytical insights that inform operational decision-making.
The ideal candidate combines strong program leadership experience with advanced analytics expertise and the ability to coordinate across technical teams and government stakeholders in a fast-paced, mission-driven environment.
Responsibilities include but are not limited to: - Provide overall program leadership, coordination, and accountability for the execution of analytical initiatives.
- Lead and manage multi-workstream analytics efforts supporting fraud detection and identity theft detection.
- Coordinate closely with senior government stakeholders to align priorities, reporting, and program outcomes.
- Ensure timely delivery of analytical products within operational and filing-season timelines.
- Translate complex analytical outputs into clear, operationally actionable recommendations.
- Guide collaboration across data scientists, engineers, and fraud subject matter experts.
- Support program reporting, leadership briefings, and analytical strategy discussions.
- Ensure analytical outputs align with operational processes, treatment workflows, and program objectives.
Minimum Qualifications: - Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences
- 8+ years of experience leading complex analytics, compliance, or risk detection programs.
- Demonstrated success managing multi-disciplinary analytical teams across multiple workstreams.
- 3+ years supporting fraud analytics, compliance analytics, or risk detection programs within a federal agency or similarly complex regulatory environment.
- Experience coordinating with senior government stakeholders and operational leadership, paired with demonstrated expertise in advanced analytics and modeling (statistical analysis, predictive modeling, machine learning, and AI) applied to large-scale financial or tax datasets.
- Experience working with large-scale data environments and distributed analytics platforms such as Databricks, PostgreSQL, or comparable enterprise analytics ecosystems.
- Proficiency in SQL, Python, or related analytical languages to support model development, monitoring, and end-to-end analytical workflows.
- Experience applying analytics to fraud detection, identity theft analytics, anomaly detection, and risk scoring frameworks.
Preferred Qualifications: - Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision science, or related fields
- Working knowledge of federal tax administration processes, including filing workflows, refund issuance, identity theft treatment processes, and compliance programs.
- Experience translating analytics into operationally actionable insights within complex system and policy constraints.
- Strong communication skills with the ability to produce clear documentation, dashboards, and executive briefings using tools such as PowerPoint, Word, and Excel.
Clearance Requirements: - Must currently possess an IRS Public Trust clearance with Full Background Investigation
Physical Requirements: - Must be able to remain in a stationary position 50%
- Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
- Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
- Must be able to exchange accurate information in these situations
