Hiring: Director of Data Management and Operations Company: CHAOS Industries Location: El Segundo, CA Job Posted Time: 2026-09-10 12:47:00 Employment Type: Full-time / On-site Target Skills & Keywords : CDN, Change Management, Data Pipeline, ETL, Foundry, Quality Assurance About the job Experience: •10+ years of experience across data engineering, data platforms, data governance, analytics infrastructure, test data, or similarly complex technical environments, including significant team leadership. •3+ years of management experience, ideally with prior experience managing teams incorporating non-exempt or contract employees. Required Skills: •Data is foundational to how CHAOS develops, tests, and improves complex sensing systems. As the company scales, we need a data operating model that makes information consistent, trusted, secure, and usable across Engineering, AI, Test, and business teams. •This isn't an analytics-only role. It's a technical and operational leadership role spanning data governance, data-platform coordination, and test operations. You'll build durable systems and teams while remaining close enough to field execution to understand where data quality and collection break down. •Success means teams use the same definitions, analysts can trust the datasets they receive, test data is captured and available quickly, and access to sensitive data is controlled and auditable without becoming a barrier to execution. •Establish company-wide governance for data definitions, ownership, quality, lineage, retention, and calculation change management. •Create authoritative, documented analytical datasets and shared definitions so teams can work from consistent data and metrics. •Interface directly with the Foundry engineering team to ensure that data ingestion, ETL, modeling, transformation, validation, and monitoring align with stakeholder needs. •Own permissions management and partner with Security and Compliance to implement least-privilege access, auditability, retention, and handling controls for sensitive data. •Build a repeatable process for planning data capture at test events, including required sensor data, metadata, truth data, labels, logging, storage, and validation. Qualifications: •You see data as both a technical platform and an operating discipline, not simply a reporting or analytics function. •You can move comfortably between data engineers, radar and test teams, security stakeholders, analysts, and senior leadership. •You build governance creating clarity and trust without unnecessary bureaucracy. •You are willing to get close to field operations and understand the practical realities of collecting, moving, and validating data. •You thrive in high-execution environments where requirements evolve quickly and ownership is expected. •You combine strong technical judgment with practical prioritization and can make sound tradeoffs across platform, operations, and compliance. •You enjoy building teams, systems, and operating rhythms from the ground up. •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 the ability to turn ambiguous needs into clear standards, systems, and operating processes. Compensation: •$233,000 - $292,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!