Principal Analytics Manager at Elder Research in Arlington, VA

Job description

• 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

• 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.

Requirements

• 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.
• Must currently possess an IRS Public Trust clearance with Full Background Investigation
• 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.

Skills

Required

• SQL
• Python
• statistical analysis
• predictive modeling
• machine learning
• AI
• Databricks
• PostgreSQL
• distributed analytics platforms

Preferred

• PowerPoint
• Word
• Excel
• communication skills
• documentation
• dashboards
• executive briefings