Kentro, formerly IT Concepts, Inc., is a mission-driven digital modernization and transformation firm founded in the early 2000s and headquartered in McLean, Virginia. Kentro speci
Senior Cybersecurity and AI Automation Lead
Location
United States
Posted
9 days ago
Salary
0
Seniority
Lead
No structured requirement data.
Job Description
Senior Cybersecurity and AI Automation Lead
Kentro.us
Role Description Kentro is seeking a Senior Cybersecurity and AI Automation Lead to serve as the senior cybersecurity authority and lead the AI and automation workstream. - As senior cyber authority, the Lead advises ATO Managers, ISOs, and the AODR on complex authorization scenarios. - Validates control inheritance design across area segments. - Ensures that processes, training, and reporting accurately reflect federal cybersecurity policy and best practices. - Leads the AI Opportunity Assessment, designs and pilots AI-enabled process improvements, and scales AI capabilities across the enterprise. - Identifies standardization opportunities and labor reduction initiatives that deliver measurable enterprise value while preserving security, compliance, and federal AI policy integrity. Location: This position can be performed remotely within the United States and will support Eastern Time working hours. Qualifications - Master's degree in Cybersecurity, Information Systems, Computer Science, or related technical field. An additional 10 years of experience may be substituted for the degree requirement for a total of 20+ years of experience. - 10+ years of cybersecurity experience, including at least 5 years in RMF / ATO roles and at least 3 years in automation, AI/ML, or RPA. - Deep, hands-on knowledge of NIST SP 800-37, NIST SP 800-53, FISMA, and the control inheritance model. - Working knowledge of federal AI policy, including the NIST AI Risk Management Framework (AI RMF). - Demonstrated experience advising senior leaders on authorization decisions and risk posture. - Hands-on experience implementing AI or automation in regulated environments. - Working knowledge of ServiceNow GRC, IRM, or CAM modules. - Strong design and architecture skills. - CISSP, CISM, or CGRC (formerly CAP) certification. Requirements - AI/ML credentials (e.g., Microsoft AI certifications, Google Cloud Professional ML Engineer, AWS ML Specialty). - ServiceNow automation / AIOps experience. - Prior VA or federal civilian agency RMF experience. - Experience designing or operating common control provider programs. - Familiarity with VA-specific RMF artifacts and processes. Benefits - Competitive benefits package including paid time off, healthcare benefits, supplemental benefits, 401k including an employer match, discount perks, rewards, and more. - Education reimbursement for certifications, degrees, or professional development. - Flexible opportunities for professional growth and networking. - Funds for activities – virtual and in-person, e.g., happy hours, holiday events, fitness & wellness events, and annual celebrations. - Commitment to supporting community initiatives through charity events.
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