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Leads Risk Management Framework cybersecurity efforts, including system categorization, control selection, implementation, assessment and authorization, evidence collection, POA&M updates, and continuous monitoring. Evaluates NIST security controls, integrates Zero Trust principles, advises system owners on risk and architecture decisions, mentors team members, and may oversee RMF activities across multiple systems.

Designs, builds, deploys, and maintains scalable data platforms, warehouses, lakes, ETL/ELT pipelines, and batch or streaming workflows. Optimizes cloud data lake and pipeline performance, manages data governance and lifecycle solutions, and collaborates with multidisciplinary agile teams. The role supports mission-driven client projects involving disparate structured, unstructured, and event-streaming data.

Design and develop ServiceNow solutions for CMDB and Attack Surface Management, ensuring data quality and building analytical dashboards.

Leads the development, management, and security of enterprise container platforms and cloud-native solutions. Builds and improves DevOps and DevSecOps automation for CI/CD pipelines, testing, monitoring, and releases across environments. Troubleshoots pipeline issues, develops Kubernetes-based deployment tools, advises clients on secure container adoption, informs platform strategy and design, ensures standards, and mentors team members.

Implement metadata governance frameworks for structured and unstructured data in cloud environments. Track data lineage and synchronize metadata across data catalogs, ESRI Kubernetes, and enterprise repositories. Use OpenLineage, Apache Atlas, and related tools to manage metadata and lineage. Enforce DoD metadata policies and NSG standards for geospatial datasets while advising clients and guiding data science teams.

Design, deploy, operate, and support secure AI tools, gateways, integrations, and automated workflows. Manage model access, APIs, permissions, monitoring, audit records, testing, troubleshooting, releases, and documentation. Collaborate with engineering, cybersecurity, platform, product, and operations teams to improve AI assistants, prompts, and workflow reliability. Contribute to cyber operations, technical planning, code reviews, and agile delivery while mentoring junior team members.

Support the deployment, operation, integration, and troubleshooting of AI tools, gateways, and automated workflows. Build secure API and enterprise-system connections, develop scripts and documentation, manage access and logging, monitor operational health, assist with cyber operations, and improve AI prompts and configurations. Collaborate with engineering, cybersecurity, product, and platform teams in an agile environment while communicating technical risks, issues, and recommendations.

The Data Governance Lead manages data governance programs, ensuring compliance and data quality while collaborating with IT and business teams. Responsibilities include policy support, stakeholder engagement, and metadata management, while overseeing training and analytics for effective data governance practices.

Develop and evaluate cloud security architectures for Intelligence Community systems. Assess security documentation, compliance, risk thresholds, software assurance, and RMF requirements across on-premises, cloud, and hybrid environments. Support validation, assessment, accreditation, and troubleshooting activities; recommend security tools and capabilities; and collaborate with clients and technical teams in an Agile environment.

Develops algorithms, predictive analytics, automated workflows, and supervised and unsupervised machine learning models for federal health organizations. Analyzes complex structured and unstructured data, communicates findings to customers and nontechnical stakeholders, briefs military leaders, mentors teammates, and supports operational requirements. The role requires Python development, a TS/SCI clearance, travel within the continental U.S. up to 25%, and possible international deployments of up to 90 days.