Senior Engineering Manager, Data Platform and AI

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. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.

We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what’s possible and shape the future of mobility.

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 that ingests high-volume vehicle telemetry and enterprise systems data, integrates and curates it into trusted data products, and provides scalable, governed, AI-ready data foundations. This role will oversee teams building business-critical capabilities for engineering, manufacturing, supply chain, finance, sales, service, and corporate functions.

The ideal candidate combines strong engineering leadership with deep technical expertise in data engineering, data quality, AWS, and Amazon Redshift. You will build and lead a high-performing team responsible for reliable batch and streaming ingestion, cross-domain data integration, identity resolution, data curation, governance, and platform operations at scale.

• 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, including data modeling, distribution and sort strategies, workload management, scaling, performance 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 that improve delivery speed and operational consistency.

• Build and operate high-volume, resilient batch and real-time pipelines that ingest vehicle telemetry and data from enterprise applications.
• Integrate and stitch telemetry with manufacturing, supply chain, sales, service, finance, customer, and master data to create consistent cross-domain views.
• Address 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 that support 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…