Sr. Principal AI/ML Data Management & Governance Lead at Lucid Motors

Newark, California, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Apr, 26

Salary

0.0

Posted On

06 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Management, Governance, AI Solutions, Machine Learning, Data Integrity, Metadata, Data Lineage, Explainable AI, Forensic Safety, Identity Frameworks, Policy Engines, Data Catalogs, Multi-Cloud Security, Semantic Standards, AI Interoperability, Data Sovereignty

Industry

Motor Vehicle Manufacturing

Description

Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility. We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience. Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you. Data generated by electric vehicles, manufacturing operations, and enterprise systems is rich and diverse with increasing potential to design, develop, and deploy AI/ML solutions at scale. Lucid’s AI organization is leading the innovation and in-vehicle AI product solutions and is seeking a Lucid’s AI/ML organization is seeking a Sr. Principal AI/ML Data Management & Governance Lead. This position will strategize, execute, and maintain master data management and data readiness for Lucid’s AI operational solutions and product enablement. You will architect and build the automated "control plane" that ensures our Data, AI, and Autonomous Agents operate in a safe, well-governed manner. This role bridges the gap between policy and code. How We Work: We balance hard work and innovation through meaningful, in-office calibration. Please note, this role is based out of Newark, CA or select remote work options. You Will: Design Unified Governance Architecture across four critical domains: Core Data Integrity & Lineage: Create federated governance models enabling teams to own data products while adhering to global standards. Architect automated metadata harvesting systems for a central data catalog with rich context tagging. Implement sovereignty and traceability frameworks to meet strict location-based regulations and enable end-to-end data lineage. Semantic Governance & Ontologies: Define and enforce enterprise ontologies and semantic standards as the “source of truth” for AI systems. Establish governance models for seamless AI agent interoperability. AI Explainability & Forensic Safety: Build Explainable AI (XAI) frameworks linking decisions to training data versions and metadata. Design forensic guardrails to reconstruct decision states and prevent PII leakage or hallucinations. Agentic AI Controls: Architect identity frameworks for non-human agents with strict “least privilege” principles. Define sandboxing standards for agent interactions with external tools to prevent unintended state changes. You Bring: Bachelors Degree in Computer Science, Electrical Engineering or related STEM field with at least 6-8 years of experience, Masters Degree is preferred Strategic Leadership: Ability to define governance roadmaps with C-suite stakeholders and deliver foundational code. High-Stakes Experience: Proven track record in industries where data failure impacts safety or regulatory compliance (e.g., Pharma, Healthcare, Defense). Technical Expertise: Knowledge graph architectures and semantic layers for AI data standardization. Policy engines (e.g., OPA) and “Policy as Code” frameworks within IaC workflows. Enterprise-scale data catalogs and automated lineage systems (e.g., OpenLineage). Familiarity with modern AI stacks: vector search, LLM orchestration, and RAG architectures. Multi-cloud security fluency with focus on data residency, encryption, and zero-trust architectures. At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations. Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.) By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice. To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.

Responsibilities

The role involves strategizing, executing, and maintaining master data management and data readiness for AI operational solutions. It also includes designing governance architecture across critical domains to ensure data integrity and compliance.