We are seeking a highly experienced Cyber Systems Engineering Manager to lead and oversee enterprise Fraud Prevention and Advanced Analytics initiatives supporting a large-scale federal cybersecurity and fraud detection environment. The ideal candidate will possess extensive experience managing cross-functional analytics cybersecurity fraud prevention and incident response programs in complex operational environments.
This role will provide strategic leadership operational oversight stakeholder coordination and program execution support for fraud analytics initiatives focused on detecting preventing mitigating and responding to anomalous malicious and fraudulent activities across enterprise systems and applications.
The Senior Program Manager will collaborate with government leadership cybersecurity teams data scientists engineers analysts and external stakeholders to drive operational excellence and continuous innovation in fraud analytics capabilities.
Key Roles & Responsibilities:
Program Leadership & Oversight
Lead enterprise fraud analytics and cybersecurity support programs across multiple projects and operational teams.
Provide strategic direction governance and oversight for fraud prevention predictive analytics and forensic analysis initiatives.
Manage program execution in accordance with federal lifecycle methodologies governance standards and security compliance requirements.
Ensure successful delivery of all contract deliverables milestones and performance objectives.
Stakeholder Engagement & Coordination
Serve as the primary interface between government leadership technical teams and external stakeholders.
Coordinate with cybersecurity operations application owners cloud service providers (CSPs) and partner organizations.
Facilitate communication and collaboration across large complex organizations to support fraud detection and incident response efforts.
Prepare and deliver executive briefings white papers status reports dashboards and presentations.
Fraud Analytics & Operational Support
Oversee predictive analytics machine learning and forensic analysis activities used to identify fraudulent and anomalous behavior.
Support the development and implementation of fraud indicators risk models and analytic strategies.
Ensure operational readiness for incident response coordination and fraud monitoring activities including off-hours support requirements.
Guide teams responsible for data ingestion ETL processes log analysis threat intelligence integration and analytics platform support.
Project & Resource Management
Manage project schedules staffing budgets risks and performance metrics.
Lead multidisciplinary teams consisting of data scientists cybersecurity analysts engineers developers and operations personnel.
Establish and maintain program management processes reporting standards and quality assurance practices.
Monitor program risks and develop mitigation strategies to ensure mission success.
Continuous Improvement & Innovation
Identify opportunities to enhance fraud detection capabilities through emerging technologies automation machine learning and AI-driven analytics.
Support modernization efforts involving cloud-based and big-data analytics ecosystems.
Promote process improvements operational efficiencies and enhanced analytical methodologies.
Qualifications
Basic Requirements:
10 years of experience may have supervisory or lead experience
10 years of experience in program or project management supporting cybersecurity fraud analytics risk management or data analytics initiatives.
Minimum 5 years leading large-scale federal or enterprise-level analytics or cybersecurity programs.
Demonstrated experience managing cross-functional technical teams in complex operational environments.
Strong understanding of predictive analytics machine learning concepts and fraud detection methodologies.
Experience managing programs involving big data platforms data analytics ecosystems and cloud-based environments.
Experience developing executive-level reports presentations and program briefings.
Knowledge of Agile SDLC IT governance and federal program management practices.
Excellent written verbal leadership and stakeholder management skills.
Experience with fraud analytics platforms SIEM technologies and large-scale monitoring environments.
Familiarity with machine learning and AI frameworks used for fraud detection and predictive analytics.
Experience managing 24x7 operational support or cyber watch operations environments.
Familiarity with NIST cybersecurity standards and federal compliance frameworks.
Must be a US Citizen
Ability to obtain and maintain a Public Trust or higher federal security clearance.
Preferred Qualifications:
Masters degree in Cybersecurity Data Science Business Administration Engineering or related discipline.
PMP PgMP CISM CISSP or other relevant certifications.
Experience supporting IRS Treasury DHS Intelligence Community financial services or other federal agencies.
Experience with technologies such as:
Python R Java
SQL and NoSQL databases
Hadoop Spark Elasticsearch
Splunk or other SIEM platforms
ETL tools and data pipeline architectures
Experience with Open Source Intelligence (OSINT) and threat intelligence integration.
Proven ability to lead high-visibility programs with tight deadlines and executive reporting requirements.
Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the worlds leading mission capability integrator and transformative enterprise IT provider we deliver trusted highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land sea space air and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day our employees do the cant be done by solving the most daunting challenges facing our customers. Visit to learn how were keeping people around the world safe and secure.
Target Salary Range
$135000 - $216000. This represents the typical salary range for this position. Salary is determined by various factors including but not limited to the scope and responsibilities of the position the individuals experience education knowledge skills and competencies as well as geographic location and business and contract considerations. Depending on the position employees may be eligible for overtime shift differential and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer including disability and protected veterans or other characteristics protected by law.
Required Experience:
Manager
ResponsibilitiesWe are seeking a highly experienced Cyber Systems Engineering Manager to lead and oversee enterprise Fraud Prevention and Advanced Analytics initiatives supporting a large-scale federal cybersecurity and fraud detection environment. The ideal candidate will possess extensive experien...
Responsibilities
We are seeking a highly experienced Cyber Systems Engineering Manager to lead and oversee enterprise Fraud Prevention and Advanced Analytics initiatives supporting a large-scale federal cybersecurity and fraud detection environment. The ideal candidate will possess extensive experience managing cross-functional analytics cybersecurity fraud prevention and incident response programs in complex operational environments.
This role will provide strategic leadership operational oversight stakeholder coordination and program execution support for fraud analytics initiatives focused on detecting preventing mitigating and responding to anomalous malicious and fraudulent activities across enterprise systems and applications.
The Senior Program Manager will collaborate with government leadership cybersecurity teams data scientists engineers analysts and external stakeholders to drive operational excellence and continuous innovation in fraud analytics capabilities.
Key Roles & Responsibilities:
Program Leadership & Oversight
Lead enterprise fraud analytics and cybersecurity support programs across multiple projects and operational teams.
Provide strategic direction governance and oversight for fraud prevention predictive analytics and forensic analysis initiatives.
Manage program execution in accordance with federal lifecycle methodologies governance standards and security compliance requirements.
Ensure successful delivery of all contract deliverables milestones and performance objectives.
Stakeholder Engagement & Coordination
Serve as the primary interface between government leadership technical teams and external stakeholders.
Coordinate with cybersecurity operations application owners cloud service providers (CSPs) and partner organizations.
Facilitate communication and collaboration across large complex organizations to support fraud detection and incident response efforts.
Prepare and deliver executive briefings white papers status reports dashboards and presentations.
Fraud Analytics & Operational Support
Oversee predictive analytics machine learning and forensic analysis activities used to identify fraudulent and anomalous behavior.
Support the development and implementation of fraud indicators risk models and analytic strategies.
Ensure operational readiness for incident response coordination and fraud monitoring activities including off-hours support requirements.
Guide teams responsible for data ingestion ETL processes log analysis threat intelligence integration and analytics platform support.
Project & Resource Management
Manage project schedules staffing budgets risks and performance metrics.
Lead multidisciplinary teams consisting of data scientists cybersecurity analysts engineers developers and operations personnel.
Establish and maintain program management processes reporting standards and quality assurance practices.
Monitor program risks and develop mitigation strategies to ensure mission success.
Continuous Improvement & Innovation
Identify opportunities to enhance fraud detection capabilities through emerging technologies automation machine learning and AI-driven analytics.
Support modernization efforts involving cloud-based and big-data analytics ecosystems.
Promote process improvements operational efficiencies and enhanced analytical methodologies.
Qualifications
Basic Requirements:
10 years of experience may have supervisory or lead experience
10 years of experience in program or project management supporting cybersecurity fraud analytics risk management or data analytics initiatives.
Minimum 5 years leading large-scale federal or enterprise-level analytics or cybersecurity programs.
Demonstrated experience managing cross-functional technical teams in complex operational environments.
Strong understanding of predictive analytics machine learning concepts and fraud detection methodologies.
Experience managing programs involving big data platforms data analytics ecosystems and cloud-based environments.
Experience developing executive-level reports presentations and program briefings.
Knowledge of Agile SDLC IT governance and federal program management practices.
Excellent written verbal leadership and stakeholder management skills.
Experience with fraud analytics platforms SIEM technologies and large-scale monitoring environments.
Familiarity with machine learning and AI frameworks used for fraud detection and predictive analytics.
Experience managing 24x7 operational support or cyber watch operations environments.
Familiarity with NIST cybersecurity standards and federal compliance frameworks.
Must be a US Citizen
Ability to obtain and maintain a Public Trust or higher federal security clearance.
Preferred Qualifications:
Masters degree in Cybersecurity Data Science Business Administration Engineering or related discipline.
PMP PgMP CISM CISSP or other relevant certifications.
Experience supporting IRS Treasury DHS Intelligence Community financial services or other federal agencies.
Experience with technologies such as:
Python R Java
SQL and NoSQL databases
Hadoop Spark Elasticsearch
Splunk or other SIEM platforms
ETL tools and data pipeline architectures
Experience with Open Source Intelligence (OSINT) and threat intelligence integration.
Proven ability to lead high-visibility programs with tight deadlines and executive reporting requirements.
Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the worlds leading mission capability integrator and transformative enterprise IT provider we deliver trusted highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land sea space air and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day our employees do the cant be done by solving the most daunting challenges facing our customers. Visit to learn how were keeping people around the world safe and secure.
Target Salary Range
$135000 - $216000. This represents the typical salary range for this position. Salary is determined by various factors including but not limited to the scope and responsibilities of the position the individuals experience education knowledge skills and competencies as well as geographic location and business and contract considerations. Depending on the position employees may be eligible for overtime shift differential and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer including disability and protected veterans or other characteristics protected by law.
Peraton provides innovative solutions for the most sensitive and critical programs in government today, developed and executed by scientists, engineers, and other experts.
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