Senior Engineering Manager, Data Platform and AI
Lucid Motors · Phoenix, AZ
About this role
**About Lucid** At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid’s proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our “Compromise Nothing™” approach to the global automotive market—refusing to choose between performance and sustainability, design and engineering, ambition and integrity. We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. --- **Position Overview** We are seeking an experienced **Senior Engineering Manager, Data Platform and AI** to lead the strategy, architecture, delivery, and operation of an enterprise data platform. You will ingest high-volume vehicle telemetry and enterprise systems data, integrate and curate it into trusted data products, and provide scalable, governed, AI-ready data foundations. You will oversee teams building business-critical capabilities for engineering, manufacturing, supply chain, finance, sales, service, and corporate functions. --- **What You’ll Do** **Lead Data & AI Platform Engineering** - Define and execute the strategy and roadmap for enterprise data, telemetry, and AI platforms. - Lead, mentor, and grow a high-performing team of data and platform engineers. - Drive engineering excellence through automation, operational rigor, and modern development practices. - Partner with business and technology leaders to deliver high-impact data products and capabilities. **Build and Scale Data Platforms** - Own the architecture, reliability, performance, security, and cost efficiency of the enterprise data platform on AWS. - Lead the design and operation of **Amazon Redshift** (modeling, distribution/sort strategies, workload management, scaling, tuning, access controls, and cost optimization). - Develop and operate scalable data lakes, warehouses, streaming platforms, orchestration frameworks, and self-service data capabilities. - Establish reusable platform patterns, data contracts, metadata standards, and automation to improve delivery speed and operational consistency. **Lead Enterprise & Telemetry Data Engineering** - Build and operate high-volume, resilient batch and real-time pipelines ingesting vehicle telemetry and enterprise application data. - Integrate telemetry with manufacturing, supply chain, sales, service, finance, customer, and master data to create consistent cross-domain views. - Handle schema evolution, late-arriving events, time-series processing, event ordering, data contracts, and vehicle-to-enterprise identity resolution. - Curate governed, reusable data products and standardized business entities supporting analytics, engineering diagnostics, machine learning, and Generative AI. - Provide secure, reliable self-service access to trusted telemetry and enterprise data for engineering, data science, and business teams. **Drive Data Quality, Governance, and Operational Excellence** - Define and enforce data quality standards, ownership, controls, and measurable SLAs across critical data products. - Implement data profiling, validation, reconciliation, lineage, observability, anomaly detection, and root-cause remediation. - Establish monitoring, incident management, disaster recovery, and service-level objectives for business-critical data services. - Lead platform modernization, performance optimization, security, compliance, and clou
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