Systems Engineer

Standard Job Description 
 Join the Capability Integration Strategy (CIS) team, the portfolio organization that turns strategy into delivered capability. CIS integrates technical roadmaps, delivery planning, capability incentives, anomaly resolution, release management, and decision intelligence through one operating model using authoritative data and explicit decision rights.   As a Level 2 Systems Engineer, you will support one assigned CIS function as an individual technical contributor. You will execute defined work products, maintain accurate and traceable evidence, coordinate with adjacent teams, and escalate issues beyond your scope. You are responsible for work quality and currency within priorities, standards, and decision authority established by the function lead.   Key responsibilities: • Maintain assigned elements of the technical baseline, including scope, schedule, capability content, and accomplishment criteria. • Map program dependencies with owners, need dates, and verified status; support integration and verification planning backward from culminating events. • Apply the common deficiency taxonomy across hardware, firmware, software, cyber, requirements, tooling, and documentation; support impact assessment and resolution tracking. • Assemble release-readiness evidence, including verification status, deficiency disposition, limitations, and watch items. • Validate and reconcile portfolio data from authoritative systems; produce traceable health assessments, leading indicators, and dashboards integrating capability, cost, schedule, risk, and readiness. • Prepare analysis for technical interchange, roadmap, anomaly, release-readiness, and program management reviews using common data.   Each position focuses on one of four technical tracks based on expertise and team needs. Depth in one track is required; experience across multiple tracks is valued.

Track A — Capability Architecture & Integration Planning (TRM, FIP, CIM) Translate mission capabilities into executable system and integration architectures through functional decomposition, technical roadmaps, interface definition, dependency mapping, and integration planning. Apply MBSE methods such as DoDAF, UAF, or SysML to connect operational needs, requirements, system functions, design decisions, and verification evidence.   Track B — Technical Integrity & Release Readiness (ARM, CRM) Turn technical requirements into verified, integrated, and releasable capability. Apply requirements analysis, interface management, verification/validation planning, integration sequencing, technical performance assessment, and anomaly resolution. Establish objective evidence and readiness criteria for sound, transparent, and repeatable release decisions.   Track C — Data Engineering & Architecture (IDM) Build and operate data pipelines and common data models across heterogeneous sources. Apply SQL and a general-purpose language, preferably Python, for ingestion, transformation, validation, reconciliation, and orchestration. Apply data quality, schema, lineage, and access controls to investigate incorrect values at their source.   Track D — Data Analysis & Decision Metrics (IDM) Turn integrated data into decision intelligence through precise metric definitions, calculation logic, health assessments, leading indicators, trend analysis, and decision-focused dashboards. Apply SQL and tools such as Power BI, Tableau, or Python. Define metrics so independent analysts produce consistent results.   Basic Qualifications 
 Bachelor’s degree in engineering, computer science, data science, statistics, mathematics, physics, industrial engineering, or a related technical discipline from an accredited college or university. Demonstrated technical depth in at least one technical track, supported by evidence of accurate, completed work within a defined scope. Ability to apply established standards consistently, recognize