Sr. Technical Program Manager, Manufacturing Data Systems
Lucid Motors
We are looking for a highly driven and experienced Senior Technical Program Manager (TPM) to lead cross-functional data initiatives and deliver impactful programs within Lucid’s Manufacturing organization. As part of the Data Engineering team, you’ll operate at the intersection of engineering, manufacturing, and business—transforming strategic objectives into scalable data-driven solutions that enhance production line performance.
Key Responsibilities:
Program Management:
• Lead end-to-end execution of data-related initiatives for Powertrain manufacturing lines— from planning and design to implementation and ongoing monitoring.
• Define program scope, milestones, timelines, and key deliverables in close coordination with cross-functional stakeholders. • Proactively identify risks, manage interdependencies, and resolve roadblocks to ensure timely delivery. Cross-functional
Collaboration:
• Serve as the primary bridge between Data Engineering, Data Science & Analytics, IT Infrastructure, and on-site teams including process and PLC engineers.
• Align priorities, expectations, and communications across all involved teams to ensure unified execution.
Operational Excellence & Execution:
• Continuously improve manufacturing data workflows and production processes to drive greater efficiency, quality, and scalability.
• Facilitate agile practices such as sprint planning, backlog grooming, and retrospectives to support iterative development and execution.
• Maintain transparency on program health through regular reporting, status dashboards, and stakeholder updates.
• Help define and refine TPM standards and best practices within the data and automation organization.
Qualifications:
Required:
• 5+ years of technical program management experience, preferably in data-intensive environments within manufacturing.
• Strong understanding of manufacturing systems, especially SCADA (ideally Ignition), MES platforms, and interfacing with industrial control systems.
• Solid grasp of data engineering concepts including data pipelines, ETL/ELT, data lakes/warehousing, real-time streaming, and large-scale data architectures.
• Ability to translate business needs into technical solutions and effectively evaluate tradeoffs.
• Excellent communication, stakeholder management, and cross-functional collaboration skills.
• Proficiency in tools like Jira, Confluence, Tableau, and strong familiarity with Agile methodologies.
• Demonstrated success delivering complex, large-scale technical projects.
Preferred:
• Background in software automation, PLCs, software engineering, or computer engineering.
• Relevant certifications (e.g., PMP, Scrum Master, Agile) are a plus.
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