Hybrid R&D Manager - AI & Data Analytics

Sandia National Laboratories; New Mexico; Hybrid; USD 163,700 - 278,000; Full time

Benefits offered by this job

Affordable housing

Minimal traffic congestion

Job summary

Sandia National Laboratories is seeking a Level 1 Manager to lead a diverse R&D department focused on AI/ML, data science, large-scale analytics, and visualization, delivering impactful solutions for national security missions.

You will mentor researchers, shape strategic directions, and collaborate with government, industry, and academia, building an inclusive, high-performing team while advancing mission-driven applications.

Qualifications

• Bachelor's degree required with eight years of directly relevant experience or equivalent
• SCI clearance eligibility to start; ability to obtain SCI clearance

Responsibilities

• Lead and develop a diverse team of researchers, data scientists, software developers, and staff in AI/ML, data science, analytics, and visualization
• Partner with sponsors, university collaborators, industry partners, and government to deliver on commitments and identify future opportunities
• Shape technical vision and strategic direction for innovative capabilities advancing research and mission applications
• Oversee day-to-day department management, hiring, staff development, and resource allocation
• Build relationships with sponsors and stakeholders to align capabilities with mission priorities
• Promote responsible AI practices and mission impact across the department’s portfolio

Skills

Leadership

Data science

AI/ML

Communication

Team mentoring

Education

Bachelor's degree in a relevant discipline

MS or PhD in science or engineering

Job description

Sandia National Laboratories is seeking a Level 1 Manager to lead a diverse R&D department focused on AI/ML, data science, large-scale analytics, and visualization, delivering impactful solutions for national security missions.

You will mentor researchers, shape strategic directions, and collaborate with government, industry, and academia, building an inclusive, high-performing team while advancing mission-driven applications.