Principal II - Fraud Analytics Lead (Consulting Manager)

Travel Required: None. Must be able to obtain and maintain a Public Trust clearance.

What You Will Do

• Provide strategic technical leadership for fraud analytics operations, analytical methodologies, platform integration activities, and investigative initiatives.
• Establish analytical approaches, guide technical direction across workstreams, and advise stakeholders on complex fraud detection and analytic challenges.
• Develop analytical strategies, methodologies, and priorities supporting fraud analytics, predictive analytics, forensic analysis, data mining, and cybersecurity monitoring initiatives.
• Perform in-depth analyses of complex data to identify fraudulent activity, anomalous behavior, root causes, emerging risks, and potential attack vectors using independent judgment in selecting methods, techniques, tools, and evaluation criteria.
• Provide technical leadership, mentorship, and strategic direction across analytical workstreams; review and approve complex analytical products and recommendations.
• Define, refine, and oversee implementation of fraud indicators, detection methodologies, predictive models, analytical frameworks, and statistical analysis approaches.
• Collaborate with stakeholders to integrate data mining results with existing systems, improve analytics performance, and recommend process or technology enhancements.
• Prepare and present technical briefings, reports, executive summaries, dashboards, and recommendations based on analytical findings and operational priorities.
• Support data ingestion, schema alignment, data quality review, ETL activities, and analytics workflow improvements.
• Identify alternative applications for existing tools, techniques, and technologies to improve fraud analytics outcomes and operational effectiveness.
• Advise government and contractor leadership on fraud trends, emerging risks, analytical priorities, and opportunities to improve fraud detection effectiveness.
• Work onsite at the client location in Lanham, Maryland five days per week and collaborate closely with government personnel and contractor team members.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Cybersecurity, Information Systems, Statistics, Mathematics, Engineering, Operations Research, Information Science, or a STEM-related field.
• Eight or more years of professional experience supporting fraud analytics, cybersecurity analytics, data science, data engineering, predictive analytics, incident response, investigations, platform advisory, or related technical delivery.
• Experience leading analytical workstreams, technical tasks, or program segments in data analytics, fraud analytics, cybersecurity, systems integration, or platform advisory environments.
• Experience establishing analytical strategies, technical approaches, or fraud detection methodologies across multiple teams or workstreams.
• Experience developing and applying in-depth analysis of complex data using professional concepts, methodologies, and independent judgment.
• Experience with machine learning, statistical modeling, predictive analytics, data mining, link analysis, network analytics, text mining, data visualization, or related analytical techniques.
• Experience preparing and presenting technical reports, briefings, dashboards, recommendations, or executive-ready analytical products.
• Experience providing technical leadership, direction, or mentorship to team members completing analytics, data integration, documentation, or investigative tasks.
• Experience using tools and technologies such as Python, R, Java, Linux shell scripting, SQL/NoSQL databases, Spark, Elasticsearch, Parquet, SIEM platforms (including Splunk), Microsoft Word, Excel, and PowerPoint.
• Experience with web development languages and frameworks such as HTML, Python/Flask, JavaScript, CSS, jQuery, or React in support of platform advisory, analytics ecosystem, data/application integration, dashboard, or application-facing analytics work.
• Ability and willingness to work onsite at the client location in Lanham, Maryland five days per week.

Preferred Qualifications

• Experience leading fraud analytics, cybersecurity analytics, data science, or incident response teams in a federal or large enterprise environment.
• Experience supporting online application monitoring, identity verification, digital identity, credential service provider integrations, or large-scale transaction monitoring environments.
• Experience developing or guiding machine learning models, predictive models, statistical models, analytical algorithms, fraud indicators, or detection logic.
• Experience with SIEM platforms (including Splunk), cybersecurity monitoring technologies, or large-scale log analysis.
• Experience supporting incident response, investigations, open-source research, threat intelligence, or stakeholder coordination.
• Experience supporting data ingestion, schema alignment, data source onboarding, data architecture, or analytics workflow integration.
• Experience developing dashboards or visualizations using Power BI, Tableau, Spotfire, Microsoft Excel, or similar tools.
• Familiarity with Agile delivery methodologies, collaborative development environments, and federal consulting environments.
• Active or recent (within the last six months) Internal Revenue Service (IRS) Moderate Background Investigation clearance.

Benefits

• Medical, prescription, dental, and vision insurance.
• Personal and family sick time and company-paid holidays.
• Parental leave.
• 401(k) retirement plan.
• Group term life and travel assistance.
• Voluntary life and AD&D insurance.
• Health Savings Account, health care, and dependent care flexible spending accounts.
• Transit and parking commuter benefits.
• Short-term and long-term disability.
• Tuition reimbursement, personal development, certifications, and learning opportunities.
• Employee referral program.
• Corporate-sponsored events and community outreach.
• Care.com annual membership.
• Employee Assistance Program.
• Supplemental benefits via Corestream (critical care, hospital indemnity, accident insurance, legal assistance, and ID theft protection).

Position may be eligible for a discretionary variable incentive bonus.