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Lead technical IT and cybersecurity projects for a federal SOC modernization program. Manage full project lifecycle using Agile, coordinate resources and stakeholders, track milestones/risks, oversee documentation and implementation across SOC, CDM, CI/CD, and engineering teams, and present status to senior government officials.

The Technical SETA - Quantum supports DARPA's Microsystems Technology Office by managing projects, conducting risk analysis, and ensuring project adherence to best practices. Responsibilities include technical evaluations, documentation preparation, and program administration.

Design, deploy, and maintain production-scale Elastic Stack environments. Build ingestion pipelines, dashboards, automation, and integrations. Automate deployments across cloud, on-prem, and containers. Monitor performance, troubleshoot issues, lead design reviews, document runbooks, and mentor teams. Support on-site engagements and maintain security requirements.

Lead enterprise vulnerability identification, prioritization, and remediation for a large federal IT environment. Oversee scanning, tool integration (Tenable, AquaSec, CDM), POA&M tracking, dashboards, and compliance reporting. Coordinate ISOs/ISSOs, engineering, SOC, and threat-hunting teams to apply risk-based prioritization, improve cyber hygiene, and present findings to technical and executive stakeholders to reduce attack surface and ensure audit readiness.

Lead enterprise cybersecurity architecture for a federal agency: design cloud-native, Zero Trust-aligned solutions, integrate SIEM/SOAR/EDR and AWS services, develop architecture artifacts, guide CI/CD DevOps security, and support governance and modernization across large-scale IT environments.

Senior program manager responsible for leading an enterprise-scale federal cybersecurity program (SOC, threat hunting, security engineering). Manage full project lifecycle, develop solution roadmaps, oversee contract activities, ensure compliance with FISMA/NIST/EO 14028, integrate Zero Trust/CDM/DevSecOps, lead cross-functional teams, manage risks, and liaise with federal leadership to deliver secure, on-time, on-budget solutions.

Lead design and implementation of end-to-end data science architectures for multi‑INT geospatial intelligence. Build production Python pipelines, apply ML, network analytics, and advanced spatial techniques, create interactive visualizations and dashboards, mentor team members, liaise with stakeholders, and produce mission-ready intelligence products adhering to IC standards.

Consult with clients to design, optimize, and fine-tune Databricks environments for analytics and ML. Build and maintain scalable ETL/ELT pipelines, optimize clusters for performance and cost, integrate Databricks with cloud storage, implement governance and security, collaborate with stakeholders, troubleshoot issues, and drive continuous improvement of data infrastructure.

Consult with clients to design, optimize, and maintain Databricks environments for analytics and ML. Build scalable ETL/ELT pipelines, tune clusters for performance/cost, integrate cloud storage, enforce data governance/security, support model training and advanced analytics, and troubleshoot production issues.

Consult with clients to design, optimize, and maintain Databricks environments, build scalable ETL/ELT pipelines, optimize clusters for performance and cost, integrate with cloud storage, implement governance and security, support ML workflows (Delta Lake, MLflow), and troubleshoot data infrastructure to deliver analytics and machine learning solutions.