Core Capabilities (Must-Have):
-System Architecture Leadership: Design Integration patterns, define API Contracts with partners systems, lead technical discussions in cross-program meetings
-Customer & Stakeholder Engagement: Interface directly with users/analysts and partner programs, translate operational needs into technical requirements, present capabilities to stakeholders
-Technical Communication: Document integration architecture, write customer-facing guides, brief technical approaches to mixed audiences (engineers + users + PMs)

Strong Differentiators (needs some of these):
-Data Science/Analytics Architecture: Define analytics requirements, design how analysts extract insights from multi-INT data, understand ML/AI feature possibilities
-IC Domain Expertise:SIGINT/RF analyst background, UTT processes, targeting workflows, multi-INT correlation tradecraft
-AI/ML Systems Design: Architect AI/ML feature integration (anomaly detection, recommendations, pattern recognition) - what's possible, what data is needed, how it fits analysts workflows

Nice-to-Have:
-Java/Spring Boot familiarity (can read code, collaborate with backend team)
-Experience with integration platforms (NiFi, camel, messaging systems)
-GraphQL/REST API design experience
-Understanding of data modeling trade-offs (relational vs search indices vs graph)