Principal Analytics Manager

Principal Analytics Manager

General Information

• Requisition #: 681
• Locations: 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.

About Elder Research, Inc People Centered. Data Driven

Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.