Senior Manager of Enterprise Data, Radiant Nuclear

• 7+ years of software or data engineering experience, including hands-on AI/ML work
• Deep understanding of the AI landscape—you can evaluate vendor tools, understand RAG architectures, and advise on build-vs-buy tradeoffs
• Data platform architecture experience—you've designed and built systems on Databricks, Snowflake, or similar
• Strong technical leadership—you can set direction, mentor engineers, and interface effectively with non-technical stakeholders
• Hands-on ability—you're a player-coach who can write code when needed, not just draw diagrams
• Additional Requirements:
• Must be willing to work extended hours and weekends as necessary to accomplish our mission
• Must work 100% onsite at El Segundo HQ
• This position requires the ability to work in the United States and eligibility for access to export-controlled information under ITAR/EAR

Desirable

• We're building a new team to own Radiant's internal data infrastructure, executive analytics, and AI capabilities
• As the Senior Manager, Enterprise Data, you'll set the technical direction for the team—architecting the data platform, owning the AI strategy, and ensuring we make the right build-vs-buy decisions
• This is a player-coach role. You'll lead technical direction and mentor engineers, but you'll also go hands-on when needed. You'll own the AI vendor evaluation process, which is critical given our ITAR/EAR security requirements—standard AI tools don't work out of the box, and we need someone who can navigate the landscape and find compliant solutions
• Set technical direction: Define the architecture for our data platform (Databricks, Fivetran, dbt) and AI tooling; make build-vs-buy decisions
• Own AI strategy: Evaluate and select AI platforms (chatbot, enterprise search, specialized tools) that meet security requirements; lead RAG evaluation in H2
• Lead technical delivery: Ensure the ION-Ramp integration, dashboards, and AI tools are built correctly; hands-on when needed
• Mentor engineers: Set the technical bar for hiring; develop the DevOps and Data Platform Engineers on the team
• Interface with SWE: Coordinate with the Software Engineering team on shared Databricks infrastructure; ensure operational and engineering workloads coexist
• Navigate security: Work with IT/Security to ensure all technical decisions meet ITAR/EAR compliance requirements