Sr Technical

The Technical Support Specialist provides expertise in data science, analytics, and strategic planning to enhance operational effectiveness. The role involves conducting data and trend analyses, designing data architecture, and recommending strategies to mitigate risks. This position supports implementing AI, machine learning, and metrics development to meet mission objectives, including countering cyber threats, protecting infrastructure, and improving organizational efficiency. Responsibilities: Conduct long-term data and trend analysis to identify vulnerabilities and recommend strategies to mitigate supply chain risks. Provide expertise in data integration between current and future systems, assisting in the design of data architecture and data lake functionality. Partner with leadership to refine Balanced Scorecard metrics, demonstrating progress against strategic goals. Develop standard operating procedures (SOPs) for data access and define measurement standards. Generate ad-hoc and recurring reports and visualizations for internal and external stakeholders. Consolidate metrics responses and create visual representations for submission to leadership. Provide integrated analysis and courses of action (technical and programmatic) for leadership consideration. Support the development and implementation of engagement plans, building and maintaining stakeholder trust throughout the project lifecycle. Provide accreditation support using the Risk Management Framework (RMF), authoring and maintaining artifacts such as Security Plans (SP), Security Assessment Reports (SAR), Security Controls Traceability Matrix (SCTM), and Plans of Action & Milestones (POA&M). Ensure security controls align with DoD Information Assurance (IA) architectures, STIG compliance, and NIST 800-53 standards. Conduct trend analysis to identify risks or shortfalls, working with stakeholders to address root causes. Suggest tools and methods to increase operational efficiency and analysis capabilities. Requirements TS/SCI Master's degree with 5 years of relevant experience. Proficient in AI, machine learning, and data integration methodologies. Expertise in risk management frameworks, security compliance (e.g., RMF, STIG, NIST 800-53). Strong skills in data analysis, visualization, and report generation. Effective collaboration and communication skills with leadership and stakeholders.