The most qualified candidates for this position will think like a product strategist, build like an analytics engineer, and communicate like a trusted advisor while maintaining the technical and analytical rigor expected of Digital Command Center products.
Key responsibilities may include, but are not limited to
Translate ambiguous stakeholder needs and operational questions into dashboard concepts, product requirements, metrics, and analytical workflows
Define KPIs, thresholds, scoring logic, and analytical methods supporting Digital Command Center products
Assess data quality, completeness, consistency, timeliness, lineage, and analytical usability
Analyze structured and semi-structured data to identify trends, dependencies, gaps, anomalies, and decision-relevant insights
Partner with data teams, systems engineers, AI/ML scientists, and mission stakeholders to ensure data is accurate, traceable, and fit for use
Define dashboard information architecture, navigation, filters, drilldowns, alerts, and workstream specific views
Design, develop, test, and maintain interactive dashboards, analytical applications, executive views, and decision-support products using AI, prompt-driven development, low-code tools, visualization platforms, and conventional coding methods as required
Validate AI-generated code, queries, calculations, metrics, visualizations, and narrative outputs
Create clear data narratives that explain what happened, why it matters, and what actions stakeholders should consider
Lead dashboard demonstrations, product reviews, and analytical briefings for technical, program, and executive audiences
Gather user feedback and translate it into prioritized enhancements, backlog items, and product roadmap recommendations
Contribute to dashboard standards, reusable templates, visualization components, prompt and memory libraries, metric catalogs, and product documentation
Qualifications
Required Qualifications
8+ years of experience with a BS/BA, 6+ years with a MS/MA, or 3+ years with a PhD in Data Science, Computer Science, Information Systems, Analytics, Statistics, Mathematics, Operations Research, Human-Computer Interaction, Data Visualization, or a related technical discipline
Hands-on proficiency with Python, SQL, JavaScript, TypeScript, R, or similar languages
Proficiency with one or more dashboard or visualization platforms
Experience working with relational data, JSON, CSV, Parquet, APIs, and cloud-hosted datasets
Strong understanding of data visualization, information hierarchy, user interaction, and dashboard usability
Familiarity with LLMs, prompt engineering, AI-assisted code generation, and human-in-the-loop review
Experience developing production-quality dashboards, analytical applications, data visualizations, or decision-support products
Experience defining and validating metrics, KPIs, analytical logic, trend analyses, scoring models, or decision-support methods
Experience translating operational or stakeholder needs into analytical requirements and measurable outputs
Ability to inspect, validate, and troubleshoot AI-generated code, queries, metrics, and analytical outputs
Demonstrated ability to communicate findings—through visual storytelling, concise narratives, and decision-oriented recommendations—to senior leaders, customers, product owners, or operational stakeholders
Strong analytical judgment, creativity, communication skills, and comfort working with evolving requirements
US Citizenship with ability to obtain/maintain an FAA Public Trust
Desired Qualifications
Experience with Tableau, Power BI, Grafana, Plotly, Dash, Streamlit, Superset, Qlik, Looker, D3.js, React, Vega-lite, Highcharts, ECharts, or ArcGIS
Experience with Databricks, Snowflake, Microsoft Fabric, Azure Synapse, data lakes, data warehouses, or lakehouse architectures
Familiarity with ETL/ELT, data pipelines, APIs, metadata, lineage, data catalogs, data quality, schemas, or streaming data
Experience with agentic AI architectures—including RAG, context engineering, tool-using agents, and structured output validation—and frameworks such as LangChain, LangGraph, Semantic Kernel, or LlamaIndex
Experience with forecasting, anomaly detection, risk scoring, dependency analysis, schedule analytics, scenario analysis, simulation, optimization, or geospatial analysis
Experience with product discovery, design thinking, wireframing, prototyping, usability testing, accessibility, Section 508, and color-blind-safe visualization design
Experience supporting FAA, NAS, aviation, air traffic operations, transportation, defense, command centers, infrastructure modernization, or other safety-critical operational environments
Target Salary Range $104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Benefits Statement
Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
Application Statements The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate’s own.
- EEO
- EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
