Koniag IT Systems, LLC a Koniag Government Services company
, is seeking a Big Data Platforms / AI Hardening Portfolio and Intake Project Manager with a TS/SCI security clearance to support KITS and our government customer in Arlington, VA.
Benefits include medical, dental, and vision insurance, 401(k) retirement plan, paid time off, paid parental leave, life and disability insurance, flexible spending accounts, commuter benefits and tuition reimbursement.
Koniag IT Systems, LLC is seeking is seeking a senior Technical Big Data Platforms / AI Hardening Portfolio and Intake Project Manager to provide technical assessment, portfolio management, and integration support for enterprise data platforms and AI-enabled systems within a senior DoW executive organization.
The successful candidate will evaluate large-scale data processing environments, AI infrastructure, platform security, and technical modernization initiatives.
This individual will assess technical requirements, identify architecture and cybersecurity risks, and support the planning and implementation of secure, scalable data and AI platforms.
The position requires experience with enterprise data architecture, AI infrastructure, cybersecurity controls, and technical project execution.
Essential Duties and Responsibilities:
- Manage intake and technical assessment of enterprise big data, analytics infrastructure, and AI platform initiatives.
- Evaluate data platform architectures for scalability, interoperability, resilience, performance, and security.
- Assess AI infrastructure hardening requirements, including identity and access management, data protection, logging, monitoring, and configuration security.
- Identify technical risks associated with data pipelines, AI model hosting, data storage, and platform integration.
- Coordinate with cybersecurity, cloud engineering, data architecture, and infrastructure teams.
- Support technical requirements development and solution evaluation.
- Assess platform compliance with applicable DoW cybersecurity requirements and Zero Trust principles.
- Develop technical implementation roadmaps, risk assessments, and portfolio prioritization recommendations.
- Evaluate dependencies involving data availability, compute resources, cloud services, and operational environments.
- Prepare executive-level technical assessments and recommended courses of action.
- Support pilot planning, technical validation, and operational transition of approved initiatives.
Minimum Qualifications:
- Bachelor's degree in Computer Science, Information Systems, Engineering, Cybersecurity, or a related discipline.
- 10 years of experience in enterprise IT architecture, big data platforms, technical consulting, or cybersecurity engineering.
- Demonstrated experience with large-scale data platforms and distributed computing environments.
- Experience with cloud infrastructure, data engineering, or AI/ML platform deployment.
- Understanding of platform security, cybersecurity hardening, and Zero Trust principles.
- Familiarity with RMF and applicable federal cybersecurity requirements.
- Experience supporting technical project management and enterprise technology integration.
- Strong analytical and executive communication skills.
Preferred Qualifications:- Master's degree in Computer Science, Engineering, Cybersecurity, or a related discipline.
- Experience with Databricks, Spark, Kubernetes, cloud-native data platforms, or comparable technologies.
- Experience securing AI/ML development and production environments.
- Familiarity with DevSecOps, MLOps, and automated security validation.
- Experience supporting DoW or Intelligence Community data environments.
- CISSP, CCSP, or relevant cloud security certification.
Security Clearance: - Active Top Secret clearance with SCI eligibility/access required.
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