Lunar Terrain Vehicle - IT Data Systems Lead

Overview

Barrios Technology is an engineering solutions partner with more than 45 years of experience supporting NASA and the commercial space industry. We deliver innovative engineering, software, and technology integration services across NASA centers nationwide. Barrios prides itself on a people-focused culture that values creativity, diversity, professional growth, and a healthy work-life balance.

We are seeking IT Data Systems Lead to support the development and operations of the Lunar Terrain Vehicle (LTV), the next‑generation lunar surface mobility system that will enable Artemis astronauts and commercial partners to explore the lunar surface.

We are actively searching for qualified candidates...

• Oversee the design, planning, and execution of enterprise-wide digital solutions
• Direct the modernization of IT infrastructure, applications, and platforms, including cloud adoption, system integration, and cybersecurity enhancements
• Partner with leads, users, and customers to identify opportunities for process automation, data‑driven decision‑making, and customer experience enhancement
• Develop roadmaps for digital initiatives and ensure alignment with organizational goals and priorities
• Drive adoption of emerging technologies (AI, analytics, cloud, low‑code platforms) to create business value
• Establish governance, KPIs, and reporting mechanisms to measure transformation success and ROI
• Mentor a team of IT professionals who design, develop, and support digital solutions throughout their lifecycle
• Integrate software solutions into a multi‑disciplinary engineering team
• Foster a culture of innovation, agility, and continuous improvement within IT and the wider business
• Manage vendor relationships, service contracts, and software licenses, focusing on cost optimization and value delivery
• Provide technical expertise during major project milestones and project reviews
• Perform all other assigned duties

Required Education/Experience/

Skills:

• BS degree in Information Technology, Computer Science, Engineering, or a related field and ten (10) years of related engineering experience
• BS degree in Information Technology, Computer Science, Engineering, or a related field and fifteen (15) years of related engineering experience
• Demonstrated leadership experience
• Strong understanding of enterprise IT infrastructure, networking, systems administration, and cybersecurity fundamentals
• Experience managing software development teams using agile or other structured SDLC methodologies
• Experience in leading or supporting IT, Data, or Software functions in regulated industries, with exposure to NASA, DoD, SEC, or other Federal Government environments and a working knowledge of aerospace or defense industry standards and compliance frameworks
• Experience and familiarity with key business intelligence enablement and observability concepts such as ETL/ELT, data centralization and distribution, governance, hygiene and retention, security and authorization, storage, scaling, and actionable insights
• Familiarity with embedded software and integrated hardware designs, such as vehicle, robotics, or machinery embedded code
• Demonstrated ability to deliver IT and Data solutions that improve efficiency, align with business objectives, and implement cost‑saving strategies without compromising service quality
• Excellent interpersonal and communication skills with a strong commitment to internal customer satisfaction
• Excellent debugging, troubleshooting, problem solving, and brainstorming skills

Preferred Education/Experience/

Skills:

• Master's degree in a related field or advanced certifications
• Working experience with Human Space Exploration programs
• Proven track record of leading digital transformation, cloud migration, data‑driven value, and/or cost optimization initiatives
• Experience with identification, data design, and delivery of KPIs and TPMs across various departments, including finance, schedule, performance, requirements, and engineering metrics
• Experience with data visualization selection and implementation, data discovery, and data analysis principles
• Strong understanding in one or more AI pillars, including machine learning,…