Senior Cybersecurity Analytics Manager

<p class="p1">At <strong>Ardent</strong>, we hire people who want more than a job — they want to serve a mission that matters. Our teams support the federal government’s most critical national security and defense priorities, helping protect the nation, strengthen resilience, and advance the technologies and capabilities that keep America secure. For veterans, cleared professionals, and purpose-driven innovators, Ardent is a place to continue serving alongside a team that understands the importance of the mission and the people behind it.</p> <p class="p1">We also know top talent has choices, which is why we back our mission with benefits and flexibility that stand out: competitive pay, comprehensive health coverage, flexible PTO, federal holidays off, tuition reimbursement, professional development support, wellness stipends, and a culture that values and rewards hard work, dedication, and adaptability. If you want to build something meaningful, while enjoying the kind of flexibility and support that you need to do your best work — <strong>Ardent</strong> is where your next mission begins.</p> <hr> <p><strong>Ardent</strong> is seeking a&nbsp;<strong>Senior Cybersecurity Analytics Manager</strong>&nbsp;to join our team.&nbsp;&nbsp;</p> <p>This is an&nbsp;<strong>on-site position</strong> in Lanham, MD.</p> <p><strong><u>Position Description:</u></strong></p> <p>Ardent is seeking a Senior Cybersecurity Analytics Manager to provide advanced technical leadership and fraud analytics expertise supporting the IRS Cybersecurity Fraud Analytics and Monitoring (CFAM) program. This role will support predictive analytics, forensic analysis, machine learning initiatives, incident coordination, and technical strategy development across large-scale cybersecurity and fraud detection environments.</p> <p><strong><span style="text-decoration: underline;">Responsibilities and Duties:</span></strong></p> <ul data-spread="false"> <li>Serve as a senior technical advisor supporting fraud analytics and cybersecurity monitoring operations.</li> <li>Provide technical leadership across predictive analytics, deep forensics analysis, and fraud detection initiatives.</li> <li>Support development and customization of analytical algorithms used to detect anomalous, malicious, and fraudulent activity.</li> <li>Analyze large structured and unstructured datasets to identify trends, indicators, and potential threats.</li> <li>Support implementation of machine learning and advanced analytics methodologies for fraud detection and monitoring.</li> <li>Advise stakeholders on technical developments, emerging threats, and recommended mitigation strategies.</l