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Salary: USD 246,000 - 339,000 / annual
CHAOS Industries is a defense technology company founded in 2022 and backed by $1 billion in funding from top-tier investors including 8VC, Accel, and Valor Equity Partners. The company develops multi-product defense systems powered by Coherent Distributed Networks (CDN™) that serve warfighters, commercial air operators, and border protection teams.
As Manager of Data Management & Operations, you will own the end-to-end data lifecycle across the organization. This is a technical and operational leadership role—not analytics-only—spanning data governance, data-platform coordination, and test operations. You will lead teams responsible for data management and field data operations, working closely with the Foundry engineering team to build systems that make data consistent, trusted, secure, and usable across Engineering, AI, Test, and business functions.
Key responsibilities include:
- Establish company-wide governance for data definitions, ownership, quality, lineage, retention, and change management
- Create authoritative analytical datasets and shared definitions so teams work from consistent metrics
- Partner with Foundry engineering to ensure data ingestion, ETL, modeling, transformation, validation, and monitoring align with stakeholder needs
- Own permissions management and work with Security and Compliance to implement least-privilege access, auditability, and controls for sensitive data
- Build repeatable processes for planning data capture at test events, including sensor data, metadata, truth data, labels, logging, storage, and validation
- Coordinate across teams to translate test objectives into clear data requirements and ensure collection systems are ready before testing
- Establish pre-test readiness and post-test reconciliation processes to ensure data is captured, validated, transferred, cataloged, and available for analysis
- Use test outcomes and data gaps to continuously improve collection methods, retention strategy, data quality controls, and underlying architecture
- Build and manage teams responsible for data governance and field data operations
- Sustain data operations at CHAOS test sites, including contributing to test schedule strategy, extraction technology, logistics, and data labeling
- Create clear operating procedures, ownership, service levels, and metrics for pipeline reliability and data availability
- Work full-time on-site at El Segundo headquarters with regular travel to test sites and other company locations
- Support critical test events and field operations outside standard business hours when needed
Requirements:
- 8+ years of experience across data engineering, data platforms, data governance, analytics infrastructure, test data, or similarly complex technical environments, including significant team leadership
- 1+ years of management experience, ideally with prior experience managing teams incorporating non-exempt or contract employees
- Demonstrated ownership of production data pipelines from source ingestion through transformation, quality assurance, publication, and consumption
- Strong knowledge of ETL, data modeling, metadata, lineage, data quality, observability, and modern data engineering practices
- Strong cross-functional leadership and communication skills with ability to turn ambiguous needs into clear standards and operating processes
- Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or related technical field
- Ability to move comfortably between data engineers, radar and test teams, security stakeholders, analysts, and senior leadership
- Willingness to get close to field operations and understand practical realities of collecting, moving, and validating data
- Ability to thrive in high-execution environments where requirements evolve quickly and ownership is expected
Preferred qualifications:
- Experience with Palantir Foundry or comparable enterprise data platform; deep Foundry experience strongly preferred
- Radar or defense systems experience
- Experience planning or supporting test events and coordinating operational logistics for reliable data collection and transport
- Experience designing permissions and access-control processes in environments with significant security, compliance, audit, or data-handling requirements
- Experience supporting data collection from physical systems, sensors, laboratories, manufacturing, or field testing
