Technical Lead, Enterprise Data (Director)
Job Location:
El Segundo, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
10 days ago
Vacancies:
1 Vacancy
Job Summary
Job Title: Technical Lead Enterprise Data (Director)
Location: El Segundo CA (Onsite)
Full time
About the Role
Were building a new team to own internal data infrastructure executive analytics and AI capabilities. As the Technical Lead Enterprise Data (Director) youll 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. Youll lead technical direction and mentor engineers but youll also go hands-on when needed. Youll own the AI vendor evaluation process which is critical given our ITAR/EAR security requirements-standard AI tools dont work out of the box and we need someone who can navigate the landscape and find compliant solutions.
Responsibilities & Duties:
Location: El Segundo CA (Onsite)
Full time
About the Role
Were building a new team to own internal data infrastructure executive analytics and AI capabilities. As the Technical Lead Enterprise Data (Director) youll 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. Youll lead technical direction and mentor engineers but youll also go hands-on when needed. Youll own the AI vendor evaluation process which is critical given our ITAR/EAR security requirements-standard AI tools dont work out of the box and we need someone who can navigate the landscape and find compliant solutions.
Responsibilities & Duties:
- 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.
- 10 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-youve 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-youre a player-coach who can write code when needed not just draw diagrams.
- Background in hardware aerospace or defense-you understand manufacturing data supply chain systems and the complexity of physical product development.
- Experience shipping AI products or building AI capabilities at a company (not just research).
- Experience with data integration tools (Fivetran Airbyte dbt).
- Experience in regulated environments (SOC 2 FedRAMP ITAR).
- Familiarity with BI/analytics tools (Looker Tableau Power BI Databricks dashboards).