Why This Role Stands Out
This hybrid role offers a unique opportunity to shape critical initiatives for a federal client, leveraging your expertise in requirements analysis and cutting-edge AI/ML technologies. You'll thrive here if you possess strong analytical skills, a passion for innovation, and a desire to contribute to impactful projects within a reputable organization. Apply today to advance your career in a dynamic and forward-thinking environment!
Quick Overview
Job Description
Job Description:
This opportunity is with DHS/CISA
10+ years of relevant experience
• Experience analyzing functional requirements in the domain/area supported, including working with subject matter experts to document business process steps
• Requirements management and traceability: e.g., Jira, Confluence, Azure DevOps, IBM DOORS, or equivalent RTM tools
• Modeling: UML, BPMN, use cases, user stories, data flow diagrams (e.g., Visio, Lucidchart)
• Enterprise architecture and SELC documentation standards (CISA IT Enterprise Service Catalog)
• Working knowledge of data platforms (Databricks, AWS) and API/microservice architectures
• Ontology and data-model concepts for translating requirements into data requirements
Requirements management and traceability: e.g., Jira, Confluence, Azure DevOps, IBM DOORS, or equivalent RTM tools
• Modeling: UML, BPMN, use cases, user stories, data flow diagrams (e.g., Visio, Lucidchart)
• Enterprise architecture and SELC documentation standards (CISA IT Enterprise Service Catalog)
• Working knowledge of data platforms (Databricks, AWS) and API/microservice architectures
• Ontology and data-model concepts for translating requirements into data requirements
Writing requirements specific to AI/ML systems: model performance and accuracy criteria, explainability, drift thresholds, guardrails, and bias constraints
• Defining requirements for Generative and Agentic AI: RAG data sources, agent permissions and boundaries, prompt/response controls, and human-in-the-loop approval steps
• Using NLP/LLM tools to extract requirements from documents and maintain automated requirements traceability
• Translating risk ontologies and SME methodologies (e.g., NRR scenario methodology) into machine-interpretable requirements
• Defining acceptance criteria and evaluation datasets for AI capabilities
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